Applied fractional calculus in identification and control / / Utkal Mehta, Kishore Bingi, Sahaj Saxena (editors) |
Pubbl/distr/stampa | Singapore : , : Springer, , [2022] |
Descrizione fisica | 1 online resource (212 pages) |
Disciplina | 515.83 |
Collana | Studies in infrastructure and control |
Soggetto topico |
Fractional calculus
Mathematical optimization Control automàtic Càlcul fraccional Optimització matemàtica |
Soggetto genere / forma | Llibres electrònics |
ISBN | 981-19-3501-7 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Intro -- Preface -- Contents -- About the Editors -- 1 Fractional Calculus for Multivariate Vector-Valued Function and Fractal Function -- 1 Introduction -- 2 Katugampola Fractional Integral of a Multivariate Vector-Valued Function -- 3 Fractional Derivative of a Fractal Function -- 4 Conclusion -- References -- 2 Synchronization of Stochastic Fractional Chaotic Systems -- 1 Introduction -- 2 Preliminaries -- 3 Main Results -- 4 Examples -- 5 Conclusion -- References -- 3 Fractional-Order Comb Filter Design For Power-Line Interference Removal -- 1 Introduction -- 2 Background of Fractional-Order Filter Design -- 3 Proposed Approach for Fractional-Order Comb Filter -- 4 Design and Verification -- 5 Conclusions -- References -- 4 Practical Realization of Fractional-Order Notch Filter with Asymmetric Slopes and Optimized Quality Factor -- 1 Introduction -- 2 Fractional-Order Notch Filter -- 3 Optimizing Filter Coefficients for Real-Time Implementation -- 4 Simulation and Experimental Study -- 5 Conclusions -- References -- 5 Fractional Order Modified IMC for Integrating Processes for Given Stability Margins and Increased Closed Loop Bandwidth -- 1 Introduction -- 2 Controller Design -- 2.1 Process-1 -- 2.2 Process-2 -- 2.3 Evaluation of Controller Parameters -- 2.4 Solution Philosophy -- 2.5 Finding beta Subscript a Baseline element of normal upper Delta Subscript aβa inΔa -- 2.6 Finding beta Subscript b Baseline element of normal upper Delta Subscript bβb inΔb -- 3 Simulation Examples -- 3.1 Example-1 -- 3.2 Example-2 -- 4 Discussions and Conclusions -- References -- 6 Internal Model Control-Based Fractional Order Controller Design for Process Plants Satisfying Desired Gain Margin and Phase Margin -- 1 Introduction -- 1.1 Motivation to Not Approximating the Delay Term in IMC -- 2 Internal Model Controller.
2.1 upper A Subscript mAm and phi Subscript mφm Specifications -- 2.2 Design Philosophy -- 2.3 Finding omega Subscript p Baseline element of normal upper Xi Subscript aωpinΞa -- 2.4 Finding omega Subscript g Baseline element of normal upper Xi Subscript bωg inΞb -- 2.5 Disturbance Rejection Analysis -- 2.6 Algorithm for Determining FO-IMC Controller Parameters -- 3 Simulation Studies and Experimental Validation -- 3.1 Example-I -- 3.2 Example-II -- 3.3 Example-III -- 3.4 Experimental Validation -- 4 Discussion and Conclusion -- References -- 7 Novel Hybrid Iterative Learning-Fractional Predicative PI Controller for Time-Delay Systems -- 1 Introduction -- 2 Methodology -- 2.1 Controller Evolution -- 2.2 Iterative Learning Control -- 3 Results and Discussion -- 3.1 Process Model Selection -- 3.2 L- and Q-Filter Parameters Identification -- 3.3 FOPDT Process Model -- 3.4 SOPDT Process Model -- 3.5 Summary -- 4 Conclusion -- References -- 8 Design of Robust Model Predictive Controller for DC Motor Using Fractional Calculus -- 1 Introduction -- 2 Modeling of DC Motors with a Fractional Order -- 3 Design of Fractional Model Predictive Controller (FMPC) for DC Motor Model -- 4 Checking the Robustness of the Response of the Fractional-Order Model -- 5 Conclusion -- References -- 9 Studying Fractional-Order Controller Structures for Load Frequency Control of Interconnected Multiple Source Power System -- 1 Introduction -- 2 Concept Explanation -- 2.1 Chosen Application -- 3 Control Optimization Method -- 3.1 Bubble Net Attacking Method -- 3.2 Robust Tuning Performance Index -- 4 Analysis -- 4.1 Load Disturbance Approach-Scenario 1 -- 4.2 Load Disturbance Approach-Scenario 2 -- 4.3 Parameter Perturbation Approach -- 5 Conclusions -- References -- 10 Hardware Implementation of the Fractional Controller on Quadrotor Aircraft -- 1 Introduction. 2 Preliminary Concepts -- 3 Euler Angles Representation of 3D Rotation -- 4 Quadrotor Body Dynamics -- 5 Quadrotor Actuator Dynamics -- 6 Quadrotor State-Space Model -- 7 Quadrotor Linear Model -- 8 Quadrotor Transfer Functions for Control Design -- 9 Numeric Computation of Fractional-Order Blocks for Hardware Implementation -- 10 Hardware Station Setup -- 10.1 Hardware Experimentation Workflow Scheme -- 11 Analysing Experimentation results -- 12 Conclusions -- References -- 11 Optimum Fractional-Order PID for Active Suspension of Quarter Car Model Control -- 1 Introduction -- 2 Mathematical Model of Quarter Car Model System -- 3 Brief Design of FO-PID Controller -- 4 Simulation Parameters -- 5 Results and Discussions -- 6 Conclusion -- References. |
Record Nr. | UNINA-9910592986703321 |
Singapore : , : Springer, , [2022] | ||
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Lo trovi qui: Univ. Federico II | ||
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Applied fractional calculus in identification and control / / Utkal Mehta, Kishore Bingi, Sahaj Saxena (editors) |
Pubbl/distr/stampa | Singapore : , : Springer, , [2022] |
Descrizione fisica | 1 online resource (212 pages) |
Disciplina | 515.83 |
Collana | Studies in infrastructure and control |
Soggetto topico |
Fractional calculus
Mathematical optimization Control automàtic Càlcul fraccional Optimització matemàtica |
Soggetto genere / forma | Llibres electrònics |
ISBN | 981-19-3501-7 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Intro -- Preface -- Contents -- About the Editors -- 1 Fractional Calculus for Multivariate Vector-Valued Function and Fractal Function -- 1 Introduction -- 2 Katugampola Fractional Integral of a Multivariate Vector-Valued Function -- 3 Fractional Derivative of a Fractal Function -- 4 Conclusion -- References -- 2 Synchronization of Stochastic Fractional Chaotic Systems -- 1 Introduction -- 2 Preliminaries -- 3 Main Results -- 4 Examples -- 5 Conclusion -- References -- 3 Fractional-Order Comb Filter Design For Power-Line Interference Removal -- 1 Introduction -- 2 Background of Fractional-Order Filter Design -- 3 Proposed Approach for Fractional-Order Comb Filter -- 4 Design and Verification -- 5 Conclusions -- References -- 4 Practical Realization of Fractional-Order Notch Filter with Asymmetric Slopes and Optimized Quality Factor -- 1 Introduction -- 2 Fractional-Order Notch Filter -- 3 Optimizing Filter Coefficients for Real-Time Implementation -- 4 Simulation and Experimental Study -- 5 Conclusions -- References -- 5 Fractional Order Modified IMC for Integrating Processes for Given Stability Margins and Increased Closed Loop Bandwidth -- 1 Introduction -- 2 Controller Design -- 2.1 Process-1 -- 2.2 Process-2 -- 2.3 Evaluation of Controller Parameters -- 2.4 Solution Philosophy -- 2.5 Finding beta Subscript a Baseline element of normal upper Delta Subscript aβa inΔa -- 2.6 Finding beta Subscript b Baseline element of normal upper Delta Subscript bβb inΔb -- 3 Simulation Examples -- 3.1 Example-1 -- 3.2 Example-2 -- 4 Discussions and Conclusions -- References -- 6 Internal Model Control-Based Fractional Order Controller Design for Process Plants Satisfying Desired Gain Margin and Phase Margin -- 1 Introduction -- 1.1 Motivation to Not Approximating the Delay Term in IMC -- 2 Internal Model Controller.
2.1 upper A Subscript mAm and phi Subscript mφm Specifications -- 2.2 Design Philosophy -- 2.3 Finding omega Subscript p Baseline element of normal upper Xi Subscript aωpinΞa -- 2.4 Finding omega Subscript g Baseline element of normal upper Xi Subscript bωg inΞb -- 2.5 Disturbance Rejection Analysis -- 2.6 Algorithm for Determining FO-IMC Controller Parameters -- 3 Simulation Studies and Experimental Validation -- 3.1 Example-I -- 3.2 Example-II -- 3.3 Example-III -- 3.4 Experimental Validation -- 4 Discussion and Conclusion -- References -- 7 Novel Hybrid Iterative Learning-Fractional Predicative PI Controller for Time-Delay Systems -- 1 Introduction -- 2 Methodology -- 2.1 Controller Evolution -- 2.2 Iterative Learning Control -- 3 Results and Discussion -- 3.1 Process Model Selection -- 3.2 L- and Q-Filter Parameters Identification -- 3.3 FOPDT Process Model -- 3.4 SOPDT Process Model -- 3.5 Summary -- 4 Conclusion -- References -- 8 Design of Robust Model Predictive Controller for DC Motor Using Fractional Calculus -- 1 Introduction -- 2 Modeling of DC Motors with a Fractional Order -- 3 Design of Fractional Model Predictive Controller (FMPC) for DC Motor Model -- 4 Checking the Robustness of the Response of the Fractional-Order Model -- 5 Conclusion -- References -- 9 Studying Fractional-Order Controller Structures for Load Frequency Control of Interconnected Multiple Source Power System -- 1 Introduction -- 2 Concept Explanation -- 2.1 Chosen Application -- 3 Control Optimization Method -- 3.1 Bubble Net Attacking Method -- 3.2 Robust Tuning Performance Index -- 4 Analysis -- 4.1 Load Disturbance Approach-Scenario 1 -- 4.2 Load Disturbance Approach-Scenario 2 -- 4.3 Parameter Perturbation Approach -- 5 Conclusions -- References -- 10 Hardware Implementation of the Fractional Controller on Quadrotor Aircraft -- 1 Introduction. 2 Preliminary Concepts -- 3 Euler Angles Representation of 3D Rotation -- 4 Quadrotor Body Dynamics -- 5 Quadrotor Actuator Dynamics -- 6 Quadrotor State-Space Model -- 7 Quadrotor Linear Model -- 8 Quadrotor Transfer Functions for Control Design -- 9 Numeric Computation of Fractional-Order Blocks for Hardware Implementation -- 10 Hardware Station Setup -- 10.1 Hardware Experimentation Workflow Scheme -- 11 Analysing Experimentation results -- 12 Conclusions -- References -- 11 Optimum Fractional-Order PID for Active Suspension of Quarter Car Model Control -- 1 Introduction -- 2 Mathematical Model of Quarter Car Model System -- 3 Brief Design of FO-PID Controller -- 4 Simulation Parameters -- 5 Results and Discussions -- 6 Conclusion -- References. |
Record Nr. | UNISA-996490346903316 |
Singapore : , : Springer, , [2022] | ||
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Lo trovi qui: Univ. di Salerno | ||
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Automation 2021 : recent achievements in automation, robotics and measurement techniques / / editors, Roman Szewczyk, Cezary Zieliński, Małgorzata Kaliczyńska |
Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
Descrizione fisica | 1 online resource (xii, 432 pages) : illustrations (some color) |
Disciplina | 629.8 |
Collana | Advances in Intelligent Systems and Computing |
Soggetto topico |
Artificial intelligence
Automatic control Automation Computational intelligence Robotics Control automàtic Intel·ligència artificial Intel·ligència computacional Robòtica Automatització |
Soggetto genere / forma |
Congressos
Llibres electrònics |
ISBN | 3-030-74893-6 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Intro -- Foreword -- Contents -- Editors -- Control and Automation -- New Sufficient Conditions of Global Stability of Nonlinear Positive Electrical Circuits -- 1 Introduction -- 2 Positive Electrical Circuits -- 3 Global Stability of Standard Nonlinear Feedback Systems -- 4 Concluding Remarks -- References -- The Use of Multilayer ConvNets for the Purposes of Motor Imagery Classification -- 1 Introduction -- 2 Multilayer ConvNets -- 3 Multilayer Network Training -- 4 Research Experiment -- 5 Conclusions -- References -- Ordered-Fuzzy-Numbers-Driven Approach to Out-Plant Milk-Run Dynamic Routing and Scheduling -- 1 Introduction -- 2 Related Work -- 2.1 Milk-Run Routing and Scheduling -- 2.2 An Ordered Fuzzy Numbers Framework -- 3 Preliminaries -- 4 Problem Description -- 4.1 Assumptions -- 4.2 Declarative Model -- 4.3 Fuzzy Constraint Satisfaction Problem -- 5 Solution Methodology -- 6 Computational Experiments -- 7 Conclusions -- References -- Application of the Reference Sliding Variable Profile as an Extension of the Time-Varying Sliding Surface QSM Control -- 1 Introduction -- 2 Problem Statement -- 3 Time-Varying Sliding Surface for QSM Control -- 4 Simulation Example -- 5 Conclusions -- References -- A Discrete, Fractional Order, Memory-Effective State Space Model of a RLC Circuit -- 1 Abbreviations -- 2 Introduction -- 3 Preliminaries -- 3.1 Elementary Ideas -- 3.2 The CFE Approximation -- 3.3 The CFE Based Method of Solution a FO State Equation -- 4 The Considered RLC Circuit and Its FO Models -- 4.1 The Time-Continuous Model -- 4.2 The Discrete CFE State Space Model -- 5 Simulations -- 6 Conclusions -- References -- The Comparison of IAE Optimal Time-Varying Sliding Modes for Second Order Systems -- 1 Introduction -- 2 Problem Description -- 3 Selection of the Sliding Lines -- 3.1 Constant-Velocity Sliding Mode.
3.2 Constant-Acceleration Sliding Mode -- 3.3 Time-Variant Curve Sliding Mode -- 4 Simulation Example -- 5 Conclusion -- References -- Advantages of Using a Reference Model of the Plant in Discrete-Time Sliding Mode Control -- 1 Introduction -- 2 Sliding Mode Control of a Discrete-Time System -- 2.1 Sliding Hyperplane Design -- 2.2 Reaching Law Approach -- 3 Sliding Mode Control with a Reference Model -- 3.1 Reaching Law for the Reference Model -- 3.2 Model Reference Control Strategy -- 4 Discussion -- References -- Sliding Mode Control with Minimization of ITAE and the Input Signal Limitation -- 1 Introduction -- 2 Sliding Mode Controller Design -- 3 ITAE Minimization with the Control Signal Constraint -- 3.1 Admissible Set -- 3.2 ITAE Minimization -- 4 Simulation Example -- 5 Conclusions -- References -- Fractional Order vs Integer Order Transfer Function Models of a Pendulum -- 1 Introduction -- 2 Preliminaries -- 2.1 Basic Ideas -- 2.2 The Oustaloup Recursive Approximation (ORA Approximation) -- 3 The Pendulum and Its Models -- 4 The Proposed Transfer Function Models of the Pendulum -- 4.1 Integer Order Model -- 4.2 Fractional Order Transfer Functions -- 5 Simulations and Experiments -- 6 Conclusions -- References -- Biologically Inspired Neural Behavioral Control of the Wheeled Mobile Robot -- 1 Introduction -- 2 Description of Motion a 2-Wheeled Robot -- 3 Method of Artificial Potential Fields -- 3.1 Avoidance Obstacles -- 3.2 Goal-Seeking Behaviour -- 3.3 Fusion of Behaviour -- 4 Neural Control -- 5 Numerical Simulation -- 6 Summary -- References -- Robust Follow-Up Sequencing Algorithm -- 1 Introduction -- 2 Problem Formulation -- 3 Follow-Up Sequencing Algorithm -- 4 Quality Indicators -- 5 Numerical Experiments -- 5.1 Testing the Effect of the Periodic Cleaning Period Value -- 5.2 Testing the Effect of the Plan Production Length. 5.3 Study of the Influence of the Color Distribution of Instances -- 6 Conclusions -- References -- State and Control Signal Limitations in Discrete Time Sliding Mode Control with Time Varying System's Uncertainties -- 1 Introduction -- 2 Control Law Design -- 3 Bounding the Control Signal and the State Variables -- 4 Bounding the State Variables Variations -- 5 Control Strategy and Sufficient Conditions -- 6 Numerical Example -- 7 Final Remarks -- References -- Modeling of Systems of Automated Auxiliary Processes in Pharmaceutical Industry -- 1 Introduction -- 2 Materials and Methods of Research -- 3 Results and Discussion -- 4 Conclusions -- References -- Analysis of the 3D Object Reconstruction Accuracy in an Mi-17 Mixed Reality Simulator -- 1 Introduction -- 2 Method Description -- 3 Results Analysis -- 3.1 Static Error Analysis -- 3.2 Dynamic Error Analysis -- 4 Summary -- References -- Extraction of Information from a PSD for the Control of Vehicle Suspension -- 1 Introduction -- 2 PSD Approximation and Road Profile Generation -- 3 Results and Discussion -- 4 Conclusions -- References -- Genetic Algorithm for Parameters Tuning of Two Stage Switching Controller for UAV Autonomous Formation Flight -- 1 Introduction -- 2 Research Object -- 3 Formation Flight Algorithm -- 3.1 Initial Guidance Algorithm -- 3.2 Precise Formation Flight Control -- 4 Genetic Algorithm Implementation -- 4.1 Crossing-Over -- 4.2 Mutation -- 4.3 Fitness Function -- 4.4 Hysteresis Generation -- 5 Simulations Performed -- 5.1 Precise Formation Flight Tuning -- 5.2 Full System Tuning -- 5.3 Fitness Function Evaluation -- 6 Conclusions -- References -- Robustness Analysis of a Distributed MPC Control System of a Turbo-Generator Set of a Nuclear Plant - Disturbance Issues -- 1 Introduction -- 2 The Turbo-Generator Set DMPC Control Structure with Local QDMC Controllers. 3 Parameters' Tuning -- 4 Disturbances -- 5 Simulation Test Results -- 6 Summary -- References -- Simulation and Testing of Flight Stabilisation System Using Trimmers -- 1 Introduction -- 2 Aeroplane Stabilisation System Using Trimming Surfaces -- 3 Results of the HIL Simulation -- 4 Concluding Remarks -- References -- Robotics -- Application of Safety Systems Based on Laser Scanners for Installations with Automatically Relocatable Industrial Robots -- 1 Introduction -- 2 Setup Description -- 3 Law Regulations -- 4 Safety Systems -- 4.1 Cobots and Industrial Manipulators -- 4.2 Physical Barriers -- 4.3 Sensors and Other Elements -- 5 Real Implementation -- 5.1 Main Safety System -- 5.2 Additional Safety Systems for Robots -- 5.3 Cell Arrangements -- 6 Summary -- References -- Robotic Swarm Shape Control Based on Virtual Viscoelastic Chain -- 1 Introduction -- 1.1 Swarm Control Objective -- 1.2 The Idea of Controlling a Swarm of Robots -- 2 Swarm Robots Dynamics -- 3 Swarm Control -- 3.1 Swarm Control Method -- 3.2 Swarm Shape Control -- 3.3 Analytical Approach -- 3.4 Numerical Approach -- 4 Simulations -- 4.1 Analytical Approach, Circle and Ellipse -- 4.2 Numerical Approach, Rounded Square and Heart -- 5 Summary -- References -- Robust Tracking Control of Omni-Mecanum Wheeled Robot -- 1 Introduction -- 2 Kinematics and Dynamics of Wheeled Robot -- 3 Synthesis of Robust Control -- 4 Simulation -- 5 Conclusions -- References -- Multi-stream Fusion in Image Sets Comparison -- 1 Introduction -- 2 Problem -- 2.1 Context -- 2.2 Similarity of Image Pairs -- 3 Similarity of Image Sets -- 3.1 Structure -- 3.2 Input Data -- 3.3 Semantic Segmentation -- 3.4 Car Type Classifier -- 3.5 Similarity of Image Pairs -- 3.6 Detecting and Comparing Image ROIs -- 3.7 Late Fusion and Final Classification -- 4 Results -- 4.1 ROI Detection -- 4.2 Car Type-View Classifier. 4.3 Single-Stream Evaluation of Image Set Content -- 4.4 Final Two Set-Similarity Classifier -- 5 Conclusion -- References -- Evaluation of Hand-Eye Calibration Algorithms in Application to Robotic Flexible Manufacturing Systems -- 1 Introduction -- 2 Methods -- 2.1 Experimental Setup -- 2.2 Experimental Procedure -- 2.3 Accuracy Evaluation -- 3 Results -- 3.1 Hand-Eye Algorithms Accuracy Comparison -- 3.2 Accuracy of Visual Tags Pose Estimation -- 4 Discussion -- 5 Conclusion -- References -- LiDAR Localization and Mapping for Autonomous Vehicles: Recent Solutions and Trends -- 1 Introduction -- 2 Methods for Registration of 3-D Scans -- 3 Map Structure and Optimization -- 4 Machine Learning in LiDAR SLAM -- 5 Conclusions -- References -- Convolutional Neural Network-Based Local Obstacle Avoidance for a Mobile Robot -- 1 Introduction -- 2 Related Work -- 3 Navigation with Deep Neural Network -- 3.1 Collision Avoidance -- 3.2 Motion to the Goal Pose -- 4 Results -- 5 Conclusions and Future Work -- References -- Benchmark and Analysis of Path Planning Algorithms of ``ROS MoveIt!'' for Pick and Place Task in Tomato Harvesting -- 1 Introduction -- 2 Benchmark Description -- 2.1 PC Specification -- 2.2 Evaluation Parameters -- 2.3 Test Scene -- 2.4 Approach -- 3 Available Planners -- 4 Benchmark -- 4.1 OMPL Planners -- 4.2 CHOMP/STOMP Planners -- 5 Results Analysis -- 6 Validation of Results -- 7 Summary -- References -- Preliminary Prototype of a 4-Unit Arm-Z Hyper-redundant Modular Manipulator -- 1 Introduction -- 2 The Concept of Arm-Z -- 3 Physical Demonstrator -- 3.1 (Quasi) Control -- 3.2 Construction of a Module -- 3.3 Transmission -- 4 Conclusions -- References -- Measuring Techniques and Systems -- Measurement of Qualitative Characteristics of Different Types of Wood Waste in the Forestries Zhytomyr Polissya -- 1 Introduction. 2 Research Methodology. |
Record Nr. | UNINA-9910484156603321 |
Cham, Switzerland : , : Springer, , [2021] | ||
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Lo trovi qui: Univ. Federico II | ||
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Closed Loop Control and Management : Introduction to Feedback Control Theory with Data Stream Managers / / Serge Zacher |
Autore | Zacher Serge |
Edizione | [1st ed. 2022.] |
Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
Descrizione fisica | 1 online resource (396 pages) |
Disciplina | 629.8 |
Soggetto topico |
Automatic control
Automation Control theory Control automàtic Teoria de control Teoria de sistemes Automatització |
Soggetto genere / forma | Llibres electrònics |
ISBN |
9783031134838
9783031134821 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Classic closed loop control from Heron till now:- Basics of the closed loop management -- Engineering of closed loops -- Mathematical Backgrounds. |
Record Nr. | UNISA-996511863203316 |
Zacher Serge
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Cham, Switzerland : , : Springer, , [2022] | ||
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Lo trovi qui: Univ. di Salerno | ||
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Closed Loop Control and Management : Introduction to Feedback Control Theory with Data Stream Managers / / Serge Zacher |
Autore | Zacher Serge |
Edizione | [1st ed. 2022.] |
Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
Descrizione fisica | 1 online resource (396 pages) |
Disciplina | 629.8 |
Soggetto topico |
Automatic control
Automation Control theory Control automàtic Teoria de control Teoria de sistemes Automatització |
Soggetto genere / forma | Llibres electrònics |
ISBN |
9783031134838
9783031134821 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Classic closed loop control from Heron till now:- Basics of the closed loop management -- Engineering of closed loops -- Mathematical Backgrounds. |
Record Nr. | UNINA-9910659492603321 |
Zacher Serge
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Cham, Switzerland : , : Springer, , [2022] | ||
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Lo trovi qui: Univ. Federico II | ||
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Cyber physical, computer and automation system : a study of new technologies / / edited by Endra Joelianto, Arjon Turnip, and Augie Widyotriatmo |
Pubbl/distr/stampa | Singapore : , : Springer, , [2021] |
Descrizione fisica | 1 online resource (251 pages) : illustrations |
Disciplina | 620.82 |
Collana | Advances in Intelligent Systems and Computing |
Soggetto topico |
Internet of things
Intelligent agents (Computer software) Human-machine systems Sistemes persona-màquina Agents intel·ligents (Programes d'ordinador) Control automàtic Actuadors Internet de les coses |
Soggetto genere / forma |
Congressos
Llibres electrònics |
ISBN | 981-334-062-2 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Intro -- Preface -- Contents -- About the Editors -- Management of the Computer-Controlled Hygrothermal Properties in the Room Using the Internet with Ventilator Connection -- 1 Introduction -- 2 Methodology -- 3 Measurement Equipment Description -- 4 Experimental Work -- 5 Results and Discussion the Data Analysis -- 5.1 Temperature -- 5.2 Humidity -- 5.3 Differences -- 5.4 Curve Fitting -- 6 Contactless Transmission of Signal -- 7 Efficiency of Ventilator Implication -- 8 Conclusions -- References -- Design of Smart Security with Face Recognition Method on Internet of Things Using Raspberry Pi -- 1 Introduction -- 2 Methodology -- 2.1 Digital Image Processing -- 2.2 Internet of Things -- 3 Experiment and Results -- 4 Conclusions -- References -- Is Human Behavior the Real Challenge in Combating Phishing -- 1 Introduction -- 2 Theoretical Background -- 2.1 Unified Theories of Acceptance and Use of Technology Model (UTAUT) -- 2.2 Usage -- 2.3 Manage -- 2.4 Elaboration of Likelihood Model (ELM) -- 2.5 Trust -- 2.6 Big Five Personality -- 3 Research Model -- 4 Results -- 4.1 E-Mail Usage and Practice -- 4.2 Variable Validity -- 4.3 Variable and Hypothesis Testing -- 5 Discussion -- 6 Limitation -- References -- Perseverance of Observability in Hovering Quadcopter Under Sensor Faults -- 1 Introduction -- 2 The Dynamics of Quadcopter (QC) as Cascade System -- 2.1 Models of QC Elements -- 2.2 Augmented Model of Quadcopter -- 2.3 Linear Model for Hovering Quadcopter -- 3 Effect of Sensor Faults -- 4 The Controllability Analysis of Cascade System in Hovering Quadcopter -- 5 The Observability Analysis of Cascade System in Hovering Quadcopter -- 5.1 The Case of Perfect IMU Sensor -- 5.2 The Case of Failure in Accelero Sensor -- 5.3 The Case of Failure in Gyro Sensor -- 6 Simulation -- 7 Conclusion -- References.
Integration of FIR and Butterworth Algorithm for Real-Time Extraction of Recorded ECG Signals -- 1 Introduction -- 2 Methods -- 3 Results and Discussions -- 4 Conclusion -- References -- Multi-network Transmission Using Socket Programming to Support Command and Control Systems -- 1 Introduction -- 2 Literature Review -- 2.1 TCP/IP -- 2.2 Socket Programming -- 2.3 Client Server -- 2.4 Interoperability -- 3 Research Methodology -- 3.1 System Analysis -- 3.2 System Design -- 3.3 System Development -- 3.4 Testing -- 3.5 Implementation -- 4 Conclusion and Future Work -- References -- Control Prototype of Manipulator Robot for Skin Cancer Therapy -- 1 Introduction -- 2 Methodology -- 2.1 Modeling of Manipulator Robot -- 2.2 PID Control Optimized by Extremum Seeking Control -- 3 Results and Analysis -- 4 Conclusions -- References -- Video-Based Container Tracking System Using Deep Learning -- 1 Introduction -- 2 Deep Tracking -- 2.1 Convolutional Layer -- 2.2 Pooling Layer -- 2.3 Fully Connected Layer -- 3 Proposed Methodology -- 4 Results and Discussion -- 5 Conclusion -- References -- Multi-Label Classification Using Problem Transformation Approach and Machine Learning on Text Mining for Multiple Event Detection -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Data Collecting -- 3.2 Labeling -- 3.3 Preprocessing -- 3.4 Classification -- 4 Data Analysis -- 5 Experiment Results and Evaluation -- 5.1 Experiment Step -- 5.2 Evaluation of Binary Classification -- 5.3 Evaluation of Multi-Class Classification -- 5.4 Evaluation of Multi-Label Classification -- 6 Conclusion -- References -- Development of an Automatic Control System for Controlling of Soil pH Using a Microcontroller -- 1 Introduction -- 2 Method -- 3 Result and Discussion -- 4 Conclusion -- References -- Influences of Off-Ramp Volumes on Mean Speed Based on METANET Model. 1 Introduction -- 2 METANET Model -- 3 Influences of Off-Ramp Volumes on Mean Speed -- 4 Numerical Implementation -- 5 Conclusion -- References -- An Adaptive Queue-Length Estimator Based on Stochastic Hybrid Model -- 1 Introduction -- 2 Stochastic Hybrid Model of Queue Length -- 3 Jump Markov Model Structure -- 4 Online Bayesian State-Parameter Estimation for Stochastic Hybrid System -- 4.1 State Estimation of Hybrid System -- 4.2 Parameter Tuning for Kernel Smoothing -- 4.3 Dirichlet Distribution -- 5 Online Bayesian Performance Evaluation -- 6 Conclusion -- References -- Electric Wheelchair Controlled-Based EMG with Backpropagation Neural Network Classifier -- 1 Introduction -- 2 Methods -- 3 Design and Application -- 4 Methods -- 5 Conclusions -- References -- Effect of Methadone on the Brain Activity in Close Eyes Condition -- 1 Introduction -- 2 Method -- 3 Signal Processing -- 4 Results and Discussion -- 5 Conclusion -- References -- Estimating Corn Weight Using Mixed Model with Linear Covariance Function Matrix -- 1 Introduction -- 2 The Method -- 3 Data and Simulation Procedure -- 4 Simulation Results -- 5 Conclusion -- References -- Design and Implementation of Automatic Weather Station Using MQTT Protocol -- 1 Introduction -- 2 Weather Station Component -- 2.1 Weather Station -- 2.2 Microcontroller -- 2.3 Protocol Message Queuing Telemetry Transport (MQTT) -- 2.4 Quality of Service (QoS) -- 3 Implementation -- 3.1 Design of Automatic Weather Station -- 3.2 Power Supply for Automatic Weather Station -- 4 Testing Phase and Result -- 4.1 Testing Accuracy of Automatic Weather Station -- 4.2 Bandwidth Testing -- 4.3 Delay Testing -- 4.4 Packet Size Testing -- 5 Conclusion -- References -- Rainfall Prediction in Tengger Indonesia: A System Dynamics Approach -- 1 Introduction -- 2 Literature Review -- 2.1 Rainfall -- 2.2 System Dynamics. 3 Simulation -- 3.1 Development of Model -- 3.2 Simulation -- 4 Result and Discussion -- 5 Conclusion -- References -- Adequacy Assessment of Grid-Connected Nanogrid -- 1 Introduction -- 2 Nanogrid -- 3 Reliability Analysis of Power System -- 3.1 Outage and Interruption -- 3.2 Stages of Nanogrid Adequacy Assessment -- 3.3 Reliability Indicator -- 4 Result and Discussions -- 5 Conclusion -- References -- Electroencephalography-Based Neuromarketing Using Pegasos on Partition Membership Data -- 1 Introduction -- 2 Research Method -- 2.1 Data Collecting -- 2.2 Feature Extraction -- 2.3 Propositionalization -- 2.4 Pegasos -- 2.5 Evaluation -- 3 Results and Analysis -- 3.1 The Performance of Base Classifiers -- 3.2 The Performance of Combination of Base Classifiers with the Propositionalization -- 4 Conclusion -- References -- A Literature Review for Non-player Character Existence in Educational Game -- 1 Introduction -- 2 Systematic Literature Review Methodology -- 3 Method -- 3.1 Research Question -- 3.2 Search Strategy -- 3.3 Quality Assessment -- 4 Result and Discussion -- 4.1 Searching and Classification Paper -- 4.2 RQ: NPC Existence and Its Method -- 5 Conclusion -- References. |
Record Nr. | UNINA-9910484515003321 |
Singapore : , : Springer, , [2021] | ||
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Lo trovi qui: Univ. Federico II | ||
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Developments in advanced control and intelligent automation for complex systems / / editors, Min Wu, Witold Pedrycz, Luefeng Chen |
Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
Descrizione fisica | 1 online resource (x, 411 pages) : illustrations |
Disciplina | 629.8 |
Collana | Studies in systems, decision and control |
Soggetto topico |
Automatic control
Robotics Control automàtic Robòtica |
Soggetto genere / forma | Llibres electrònics |
ISBN | 3-030-62147-2 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Intro -- Preface -- Contents -- Advanced Control Theory and Method -- Stability Analysis and Hinfty Control of Time-Delay Systems -- 1 Introduction -- 2 Stability Analysis Based on A Relaxed Integral Inequality -- 2.1 System Description -- 2.2 A Stability Criterion -- 2.3 A Numerical Example -- 3 Hinfty Control Design Based on A Parameter Tuning Method -- 3.1 Problem Formulation -- 3.2 Hinfty Performance Based Control Design -- 3.3 A Numerical Example -- 4 Load Frequency Control for A Delayed One-Area Power System -- 4.1 Dynamic Model of the LFC Scheme -- 4.2 Stability Assessment of PI-Based LFC Schemes -- 4.3 Design of the SF-Based LFC Scheme -- 4.4 Case Studies -- References -- Active Disturbance Rejection in Repetitive Control Systems -- 1 Introduction -- 2 Repetitive Control -- 2.1 Two-Dimensional Property of Repetitive Control -- 2.2 Modified Repetitive-Control System -- 3 Equivalent-Input-Disturbance Approach -- 3.1 Basic Concept of Equivalent Input Disturbance -- 3.2 Equivalent-Input-Disturbance Estimation -- 3.3 Analysis of Disturbance Rejection -- 4 Disturbance Rejection for Repetitive Control System with Time-Varying Nonlinearity -- 4.1 Analysis and Design of Nonlinear MRCS -- 4.2 Design Algorithm for Nonlinear MRCS -- 4.3 Simulation Verification and Analysis -- 5 Conclusion -- References -- Intelligent Control of Underactuated Mechanical System -- 1 Introduction -- 2 Preparations -- 3 A Continuous Control Method for Planar Underactuated Manipulator with Passive First Joint -- 3.1 Continuous Controller Design -- 3.2 Optimization of Target Angles and Design Parameters -- 3.3 Simulations -- 4 A Unified Control Method for Planar Underactuated Manipulator with One Passive Joint -- 4.1 Trajectory Planning and Parameters Optimization -- 4.2 Trajectory Tracking Controllers Design -- 4.3 Simulations -- 5 Conclusion -- References.
Finite-Time Fault Detection and Hinfty State Estimation for Markov Jump Systems Under Dynamic Event-Triggered Mechanism -- 1 Introduction -- 2 Finite-Time Fault Detection -- 2.1 Problem Formulation -- 2.2 Main Results -- 2.3 Detection Threshold Design -- 2.4 Numerical Example -- 3 Finite-Time Hinfty State Estimation -- 3.1 Problem Formulation -- 3.2 Main Results -- 3.3 Numerical Example -- 4 Conclusion -- References -- Intelligent Control and Decision-Making of Complex Metallurgical Processes -- Intelligent Control of Sintering Process -- 1 Sintering Process and Characteristics Analysis -- 1.1 Iron Ore Sintering Process -- 1.2 Characteristics Analysis for Sintering Process -- 1.3 Control Objectives -- 2 Carbon Efficiency Prediction and Optimization -- 2.1 Carbon Efficiency Hybrid Prediction Model -- 2.2 Carbon Efficiency Intelligent Optimization -- 2.3 Experimental Results and Analysis -- 3 Intelligent Control of Sintering Ignition Based on the Prediction of Ignition Temperature -- 3.1 Control Requirements and Control Structure -- 3.2 Prediction Model of Ignition Temperature -- 3.3 Design of Intelligent Controller -- 3.4 Experiment and Result Analysis -- 4 Fuzzy Control of Burn-Through Point Based on the Feature Extraction of Time Series Trend -- 4.1 Control Requirements and Control Structure -- 4.2 Feature Extraction of Time Series Trend -- 4.3 Design of Fuzzy Controller -- 4.4 Experimental Study and Result Analysis -- 5 Optimization and Control System of Carbon Efficiency -- 5.1 Architecture of OCSCE -- 5.2 Implementation Scheme -- 6 Conclusion -- References -- Decision-Making of Burden Distribution for Blast Furnace -- 1 Analysis of Ironmaking and Burden Distribution -- 1.1 Ironmaking Process -- 1.2 Gas Flow and Gas Utilization Rate -- 1.3 Effect of Burden Distribution -- 2 Prediction Model of Gas Utilization Rate. 2.1 Prediction Model of GUR Based on Chaos Theory -- 2.2 Prediction Model of GUR Based on Case-Matching -- 2.3 Prediction Model of GUR Based on Multi-time-Scale -- 3 Decision-Making Strategy -- 3.1 Structure of Decision-Making Strategy -- 3.2 Decision-Making Procedure -- 3.3 Decision-Making Verification -- 4 Conclusion -- References -- Intelligent System and Machine Learning -- Granular Computing: Fundamentals and System Modeling -- 1 Introduction -- 2 Information Granules and Information Granularity -- 3 Frameworks of Information Granules -- 4 Information Granules and Their Two-Phase Development Process -- 4.1 Clustering as a Prerequisite of Information Granules -- 4.2 The Principle of Justifiable Granularity -- 5 Augmentation of the Design Process of Information Granules -- 6 Symbolic View at Information Granules and Their Symbolic Characterization and Summarization -- 7 Granular Probes of Spatiotemporal Data -- 8 Granular Models -- 8.1 The Concept -- 8.2 Construction of Granular Models -- 9 Conclusions -- References -- Distributed Consensus Control for Nonlinear Multi-agent Systems -- 1 Introduction -- 1.1 Background and Related Work -- 1.2 Preliminaries -- 2 ADHDP-Based Distributed Consensus Control for MASs -- 2.1 Problem Formulation -- 2.2 ADHDP-Based Distributed Consensus Control Method -- 2.3 Implementation of the ADHDP-Based Distributed Consensus Control Method -- 2.4 Simulation Results -- 3 ADP-Based Distributed Model Reference Consensus Control for MASs -- 3.1 Problem Formulation -- 3.2 ADP-Based Distributed Model Reference Control Method -- 3.3 MRAC Scheme for Individual Agent -- 3.4 Distributed Value Iteration Algorithm -- 3.5 Simulation Studies -- 4 Conclusion -- References -- Stochastic Consensus Control of Multi-agent Systems under General Noises and Delays -- 1 Introduction -- 2 Problem Formulation and Preliminary. 3 Networks with Additive Noises -- 3.1 Mean Square Weak Consensus -- 3.2 Almost Sure Weak Consensus -- 3.3 Mean Square and Almost Sure Strong Consensus -- 4 Networks with Additive Noises and Delays -- 4.1 Mean Square Weak Consensus -- 4.2 Almost Sure Weak Consensus -- 4.3 Mean Square and Almost Sure Strong Consensus -- 5 Simulations -- 6 Conclusion -- References -- Multimodal Emotion Recognition and Intention Understanding in Human-Robot Interaction -- 1 Introduction -- 1.1 Multimodal Emotion Recognition -- 1.2 Emotional Intention Understanding -- 1.3 Emotional Human-Robot Interaction System -- 1.4 The Structure of the Chapter -- 2 Multimodal Emotion Feature Extraction -- 2.1 Regions of Interest based Feature Extraction in Facial Expression -- 2.2 Sparse Coding-SURF based Feature Extraction in Body Gesture -- 2.3 FCM based Feature Extraction in the Speech Emotion -- 3 Multimodal Emotion Recognition -- 3.1 Softmax Regression based Deep Sparse Autoencoder Network for Facial Emotion Recognition -- 3.2 Multi-SVM based Dempster-Shafer Theory for Gesture Recognition Using Sparse Coding Feature -- 3.3 Two-Layer Fuzzy Multiple Random Forest for Speech Emotion Recognition -- 3.4 Two-stage Fuzzy Fusion based Convolution Neural Network for Dynamic Facial Expression and Speech Emotion Recognition -- 4 Emotion Intention Understanding -- 4.1 Three-Layer Weighted Fuzzy Support Vector Regression for Emotion Intention Understanding -- 4.2 Dynamic Emotion Understanding in Human-Robot Interaction Based on Two-layer Fuzzy SVR-TS Model -- 5 Experiments and Applications of Emotional Human-Robot Interaction System -- 5.1 Multimodal Emotional Human-Robot Interaction System -- 5.2 The Application Experiment of Emotional Human-Robot Interaction System -- 6 Conclusion -- References. Dynamic Multi-objective Optimization for Multi-objective Vehicle Routing Problem with Real-time Traffic Conditions -- 1 Introduction -- 2 Background -- 2.1 Basic Definitions -- 2.2 Dynamic Multi-objective Optimization Algorithms -- 3 Multi-objective Vehicle Routing Problem with Real-time Traffic Conditions -- 3.1 Road Network Topology -- 3.2 Formulation of MOVRPRTC -- 4 Offline Optimization and Online Optimization for MOVRPRTC -- 4.1 Framework of ALSDCMOEA -- 4.2 Online Optimization -- 5 Experiment -- 6 Conclusion -- References -- Intelligent Robot System Design and Control -- Dielectric Elastomer Intelligent Devices for Soft Robots -- 1 Dynamic Modelling of Dielectric Elastomer Intelligent Actuator (DEIA) -- 1.1 Introduction -- 1.2 DEIA Manufacture and Experiment Platform Description -- 1.3 DEIA Modelling -- 1.4 Parameter Identification of Dynamic Model -- 1.5 Model Validation -- 2 Study of Soft Force and Displacement Intelligent Sensor (SFDIS) -- 2.1 Introduction -- 2.2 Experiment System Description -- 2.3 SFDIS Modelling -- 2.4 Parameter Identification of Sensing Model -- 2.5 Model Validation -- 3 Conclusion -- References -- Design of a 2-DOF Compliant Micropositioning Stage with Large Workspace -- 1 Introduction -- 2 Mechanical Design of XY Stage -- 2.1 Introduction of Basic Mechanisms -- 2.2 Propose of XY Stage -- 3 Static Modeling and Characteristic Analysis -- 3.1 Modeling of Single Flexure Hinges -- 3.2 Transform of Compliance Matrix -- 3.3 Compliance Matrix of Each Part -- 3.4 Output Compliance Matrix of XY Stage -- 3.5 Input Compliance of XY Stage -- 3.6 Amplification Ratio of XY Stage -- 4 Model Verification with FEA -- 5 Conclusion -- References -- Assistive Robots -- 1 Introduction -- 2 Human-Body-Motion-Controlled Electric Wheelchair -- 2.1 Electric Wheelchair with Human-Body-Motion Interface -- 2.2 Tuning of Gain A -- 2.3 Experiments. 2.4 Conclusion. |
Record Nr. | UNINA-9910484586103321 |
Cham, Switzerland : , : Springer, , [2021] | ||
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Lo trovi qui: Univ. Federico II | ||
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Distributed cooperative model predictive control of networked systems / / Yuanyuan Zou, Shaoyuan Li |
Autore | Zou Yuanyuan |
Pubbl/distr/stampa | Singapore : , : Springer, , [2022] |
Descrizione fisica | 1 online resource (159 pages) |
Disciplina | 629.8 |
Soggetto topico |
Automatic control - Mathematical models
Automation Systems engineering Control automàtic Models matemàtics Enginyeria de sistemes Automatització |
Soggetto genere / forma | Llibres electrònics |
ISBN | 981-19-6084-4 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Intro -- Preface -- Acknowledgements -- Contents -- Abbreviations -- 1 Introduction -- 1.1 Networked Control System -- 1.2 Model Predictive Control -- 1.3 Distributed Model Predictive Control -- 1.4 Event Triggered Control -- 1.5 Outline of This Book -- References -- 2 DMPC of Networked Systems with Event-Triggered Computation -- 2.1 Introduction -- 2.2 DMPC with a Cooperative Event-Triggered Computation Mechanism -- 2.2.1 Optimization Problem Formulation -- 2.2.2 Cooperative Event-Triggering Condition -- 2.2.3 Cooperative Event-Triggered DMPC Algorithm -- 2.2.4 Feasibility and Stability Analysis of the Overall Closed-Loop System -- 2.2.5 Example -- 2.3 DMPC with a Decentralized Event-Triggered Computation Mechanism -- 2.3.1 Optimization Problem Formulation -- 2.3.2 Decentralized Event-Triggering Condition -- 2.3.3 Event-Triggered Dual-Mode DMPC Algorithm -- 2.3.4 Feasibility and Stability Analysis of the Overall Closed-Loop System -- 2.3.5 Example -- 2.4 Discussion -- References -- 3 DMPC of Networked Systems with Event-Triggered Communication -- 3.1 Introduction -- 3.2 Optimization Problem Formulation -- 3.3 DMPC with Event-Triggered Communication -- 3.3.1 Event-Triggered Condition -- 3.3.2 DMPC Algorithm with Event-Triggered Communication -- 3.4 Feasibility and Stability Analysis -- 3.5 Example -- 3.6 Conclusion -- References -- 4 Dynamic Event-Triggered DMPC of Networked Systems -- 4.1 Introduction -- 4.2 Optimization Problem Formulation -- 4.3 Event-Triggering Condition -- 4.4 Dynamic Event-Triggering Condition -- 4.5 Dynamic Event-Triggered DMPC Algorithm -- 4.6 Performance Analysis -- 4.7 Examples -- 4.8 Conclusion -- References -- 5 Mixed Time/Event-Triggered DMPC of Networked Systems -- 5.1 Introduction -- 5.2 Problem Formulation -- 5.2.1 Event-Triggered DMPC Optimization Problem -- 5.2.2 Time-Triggered DMPC Optimization Problem.
5.3 Mixed Time/Event-Triggered Dual-Mode DMPC -- 5.3.1 Event-Triggering Condition -- 5.3.2 Mixed Time/Event-Triggered Dual-Mode DMPC Algorithm -- 5.4 Feasibility and Stability Analysis -- 5.5 Example -- 5.6 Conclusion -- References -- 6 Self-Triggered DMPC of Networked Systems -- 6.1 Introduction -- 6.2 Problem Formulation -- 6.3 Co-Design of Self-Triggered Mechanism and DMPC Strategy -- 6.3.1 Self-Triggered DMPC Optimization Control Problem -- 6.3.2 Explicit Solution of the Self-Triggered MPC -- 6.3.3 Self-Triggered DMPC Algorithm -- 6.4 Stability Analysis -- 6.5 Example -- 6.6 Conclusion -- References -- 7 Event-Triggered Distributed Model Predictive Control for Interconnected Networked Systems -- 7.1 Introduction -- 7.2 Optimization Problem Formulation -- 7.3 Event-Triggering Conditions for NCSs with Dynamic Coupling -- 7.4 Event-Triggered DMPC Algorithm for Interconnected NCSs -- 7.5 Feasibility and Stability Analysis -- 7.6 Example -- 7.7 Conclusion -- References. |
Record Nr. | UNISA-996495171303316 |
Zou Yuanyuan
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Singapore : , : Springer, , [2022] | ||
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Lo trovi qui: Univ. di Salerno | ||
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Distributed cooperative model predictive control of networked systems / / Yuanyuan Zou, Shaoyuan Li |
Autore | Zou Yuanyuan |
Pubbl/distr/stampa | Singapore : , : Springer, , [2022] |
Descrizione fisica | 1 online resource (159 pages) |
Disciplina | 629.8 |
Soggetto topico |
Automatic control - Mathematical models
Automation Systems engineering Control automàtic Models matemàtics Enginyeria de sistemes Automatització |
Soggetto genere / forma | Llibres electrònics |
ISBN | 981-19-6084-4 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Intro -- Preface -- Acknowledgements -- Contents -- Abbreviations -- 1 Introduction -- 1.1 Networked Control System -- 1.2 Model Predictive Control -- 1.3 Distributed Model Predictive Control -- 1.4 Event Triggered Control -- 1.5 Outline of This Book -- References -- 2 DMPC of Networked Systems with Event-Triggered Computation -- 2.1 Introduction -- 2.2 DMPC with a Cooperative Event-Triggered Computation Mechanism -- 2.2.1 Optimization Problem Formulation -- 2.2.2 Cooperative Event-Triggering Condition -- 2.2.3 Cooperative Event-Triggered DMPC Algorithm -- 2.2.4 Feasibility and Stability Analysis of the Overall Closed-Loop System -- 2.2.5 Example -- 2.3 DMPC with a Decentralized Event-Triggered Computation Mechanism -- 2.3.1 Optimization Problem Formulation -- 2.3.2 Decentralized Event-Triggering Condition -- 2.3.3 Event-Triggered Dual-Mode DMPC Algorithm -- 2.3.4 Feasibility and Stability Analysis of the Overall Closed-Loop System -- 2.3.5 Example -- 2.4 Discussion -- References -- 3 DMPC of Networked Systems with Event-Triggered Communication -- 3.1 Introduction -- 3.2 Optimization Problem Formulation -- 3.3 DMPC with Event-Triggered Communication -- 3.3.1 Event-Triggered Condition -- 3.3.2 DMPC Algorithm with Event-Triggered Communication -- 3.4 Feasibility and Stability Analysis -- 3.5 Example -- 3.6 Conclusion -- References -- 4 Dynamic Event-Triggered DMPC of Networked Systems -- 4.1 Introduction -- 4.2 Optimization Problem Formulation -- 4.3 Event-Triggering Condition -- 4.4 Dynamic Event-Triggering Condition -- 4.5 Dynamic Event-Triggered DMPC Algorithm -- 4.6 Performance Analysis -- 4.7 Examples -- 4.8 Conclusion -- References -- 5 Mixed Time/Event-Triggered DMPC of Networked Systems -- 5.1 Introduction -- 5.2 Problem Formulation -- 5.2.1 Event-Triggered DMPC Optimization Problem -- 5.2.2 Time-Triggered DMPC Optimization Problem.
5.3 Mixed Time/Event-Triggered Dual-Mode DMPC -- 5.3.1 Event-Triggering Condition -- 5.3.2 Mixed Time/Event-Triggered Dual-Mode DMPC Algorithm -- 5.4 Feasibility and Stability Analysis -- 5.5 Example -- 5.6 Conclusion -- References -- 6 Self-Triggered DMPC of Networked Systems -- 6.1 Introduction -- 6.2 Problem Formulation -- 6.3 Co-Design of Self-Triggered Mechanism and DMPC Strategy -- 6.3.1 Self-Triggered DMPC Optimization Control Problem -- 6.3.2 Explicit Solution of the Self-Triggered MPC -- 6.3.3 Self-Triggered DMPC Algorithm -- 6.4 Stability Analysis -- 6.5 Example -- 6.6 Conclusion -- References -- 7 Event-Triggered Distributed Model Predictive Control for Interconnected Networked Systems -- 7.1 Introduction -- 7.2 Optimization Problem Formulation -- 7.3 Event-Triggering Conditions for NCSs with Dynamic Coupling -- 7.4 Event-Triggered DMPC Algorithm for Interconnected NCSs -- 7.5 Feasibility and Stability Analysis -- 7.6 Example -- 7.7 Conclusion -- References. |
Record Nr. | UNINA-9910616387203321 |
Zou Yuanyuan
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Singapore : , : Springer, , [2022] | ||
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Lo trovi qui: Univ. Federico II | ||
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Electronic warfare target location methods / / Richard A. Poisel |
Autore | Poisel Richard |
Edizione | [Second edition] |
Pubbl/distr/stampa | Boston : , : Artech House, , 2012 |
Descrizione fisica | 1 online resource (439 p.) |
Disciplina | 623.043 |
Soggetto topico |
Electronics in military engineering
Automatic tracking Automatic control Target acquisition Control automàtic Electrònica en enginyeria militar |
ISBN |
1-5231-1712-5
1-60807-524-9 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Electronic WarfareTarget Location Methods Second Edition; Contents; Preface; References; Chapter 1 Introduction to Emitter Geolocation; 1.1 Introduction; 1.2 Gradient Descent Algorithm; 1.3 Concluding Remarks; References; Chapter 2 Triangulation; 2.1 Introduction; 2.2 Basic Concepts; 2.3 Least-Squares Error Estimation; 2.4 Total Least-Squares Estimation; 2.5 Least-Squares Distance Error PF Algorithm; 2.5.1 Brown's Least-Squares Triangulation Algorithm; 2.5.2 Hemispheric Least-Squares Error Estimation Algorithm; 2.5.3 Pages-Zamora Least-Squares; 2.5.4 Total Least-Squares Error.
2.6 Minimum Mean-Squares Error Estimation2.6.1 Dynamical Systems; 2.6.2 Linear Minimum Mean-Square Estimation; 2.6.3 Target Location Estimation with the Linear Model; 2.6.4 Kalman Filter Methods; 2.7 The Discrete Probability Density Method; 2.8 Generalized Bearings; 2.9 Maximum Likelihood PF Algorithm; 2.9.1 Maximum Likelihood Estimation Triangulation Algorithm; 2.9.2 Maximum Likelihood Estimation Algorithm Comparison; 2.10 Multiple Sample Correlation; 2.11 Bearing-Only Target Motion Analysis; 2.12 Sources of Error in Triangulation; 2.12.1 Geometric Dilution of Precision in Triangulation. 2.12.2 LOB Error2.12.3 Effects of Bias on Bearing-Only PF; 2.12.4 Combining Noisy LOB Measurements; 2.12.5 Effects of Navigation Error; 2.13 Concluding Remarks; References; Appendix 2A Least-Squares Error Estimation Program Listing; Appendix 2B Generalized Bearing Program Listing; Chapter 3 DF Techniques; 3.1 Introduction; 3.2 Array Processing Direction of Arrival Measurement Methods; 3.2.1 Introduction; 3.2.3 Array Covariance Modeling; 3.2.4 Direction of Arrival; 3.2.5 Subspace-Based Methods; 3.2.6 Beamforming AOA Estimation; 3.2.7 Maximum Likelihood AOA Estimation. 3.2.8 Least-Squares Error AOA Estimation3.2.9 Decoupling Sample Source Signals from AOA Parameters; 3.2.10 Gram-Schmidt Orthogonalization; 3.2.11 Nonlinear Programming; 3.3 Other Methods of Estimating the AOA; 3.3.1 Phase Interferometry; 3.3.2 Amplitude Systems; 3.3.3 Doppler Direction Finder; 3.4 MSE Phase Interferometer; 3.4.1 Introduction; 3.4.2 The Algorithm; 3.4.3 Simulation; 3.5 DF with a Butler Matrix; 3.5.1 Introduction; 3.5.2 Beamforming Network; 3.6 Phase Difference Estimation Using SAW Devices; 3.6.1 Introduction; 3.6.2 SAW Characteristics; 3.7 Concluding Remarks; References. Chapter 4 MUSIC4.1 Introduction; 4.2 MUSIC Overview; 4.3 MUSIC; 4.3.1 The MUSIC Algorithm; 4.4 Performance of MUSIC in the Presence of Modeling Errors; 4.4.1 Model Errors; 4.4.2 Error Expressions; 4.4.3 Results; 4.5 Determining the Number of Wavefields; 4.6 Effect of Phase Errors on the Accuracy of MUSIC; 4.6.1 Introduction; 4.6.2 Accuracy; 4.6.3 Solutions for Errors; 4.6.4 Statistics; 4.6.5 Horizontal Planar Arrays; 4.6.6 Simulations; 4.6.7 Summary; 4.7 Other Superresolution Algorithms; 4.7.1 Maximum Likelihood Method; 4.7.2 Adaptive Angular Response; 4.7.3 Thermal Noise Algorithm. |
Record Nr. | UNINA-9910790328503321 |
Poisel Richard
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Boston : , : Artech House, , 2012 | ||
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Lo trovi qui: Univ. Federico II | ||
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