Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Advances in Variable Structure Systems and Sliding Mode Control—Theory and Applications / / edited by Shihua Li, Xinghuo Yu, Leonid Fridman, Zhihong Man, Xiangyu Wang
| Advances in Variable Structure Systems and Sliding Mode Control—Theory and Applications / / edited by Shihua Li, Xinghuo Yu, Leonid Fridman, Zhihong Man, Xiangyu Wang |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (414 pages) : illustrations |
| Disciplina | 511.326 |
| Collana | Studies in Systems, Decision and Control |
| Soggetto topico |
Automatic control
System theory Control and Systems Theory Systems Theory, Control |
| ISBN | 3-319-62896-8 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Lyapunov-Based Design of Homogeneous High-Order Sliding Modes.- Robustness of Homogeneous and Homogeneizable Differential Inclusions.- Practical Stability Phase and Gain Margins Concept -- Indirect Adaptive Sliding-Mode Control Using the Certainty-Equivalence Principle.- Discrete Event-Triggered Sliding Mode Control -- Speed Control of Induction Motor Servo Drives Using Terminal Sliding-Mode Controller.- Sliding Modes Control in Vehicle Longitudinal Dynamics Control -- Sliding Mode Control of Power Converters with Switching Frequency Regulation. |
| Record Nr. | UNINA-9910299881803321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
AI 2004: Advances in Artificial Intelligence : 17th Australian Joint Conference on Artificial Intelligence, Cairns, Australia, December 4-6, 2004, Proceedings / / edited by Geoffrey Webb, Xinghuo Yu
| AI 2004: Advances in Artificial Intelligence : 17th Australian Joint Conference on Artificial Intelligence, Cairns, Australia, December 4-6, 2004, Proceedings / / edited by Geoffrey Webb, Xinghuo Yu |
| Edizione | [1st ed. 2005.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2005 |
| Descrizione fisica | 1 online resource (XXII, 1272 p.) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
WebbGeoffrey I
YuXing Huo |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Machine theory Information storage and retrieval systems Application software Database management Computer science Artificial Intelligence Formal Languages and Automata Theory Information Storage and Retrieval Computer and Information Systems Applications Database Management Theory of Computation |
| ISBN | 3-540-30549-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910483045003321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2005 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
AI 2021, advances in artificial intelligence : 34th Australasian Joint Conference, AI 2021, Sydney, NSW, Australia, February 2-4 2022, proceedings / / edited by Guodong Long, Xinghuo Yu, and Sen Wang
| AI 2021, advances in artificial intelligence : 34th Australasian Joint Conference, AI 2021, Sydney, NSW, Australia, February 2-4 2022, proceedings / / edited by Guodong Long, Xinghuo Yu, and Sen Wang |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (810 pages) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico | Artificial intelligence |
| ISBN | 3-030-97546-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents -- Ethical AI -- An Explanation Module for Deep Neural Networks Facing Multivariate Time Series Classification -- 1 Introduction -- 2 Related Work -- 2.1 Multivariate Time Series Classification -- 2.2 Explanation Methods -- 3 Our Approach -- 4 Experiments -- 4.1 Datasets -- 4.2 Baseline Methods -- 4.3 Evaluation Procedure -- 4.4 Results -- 5 Conclusion and Future Work -- References -- Privacy-Preserving in Double Deep-Q-Network with Differential Privacy in Continuous Spaces -- 1 Introduction -- 2 Preliminaries -- 2.1 Double Deep Q Network -- 2.2 Differential Privacy -- 3 Differentially Private Double Deep Q Network -- 3.1 Overview of Our Method -- 3.2 The Algorithm Design -- 3.3 Rationale of Using DPSGD -- 4 Experiment -- 4.1 Experiment Setup -- 4.2 Result and Analysis -- 5 Conclusion -- References -- HESIP: A Hybrid System for Explaining Sub-symbolic Predictions -- 1 Introduction -- 2 The LIME-Aleph System -- 3 The HESIP System Architecture -- 4 Ontology for HESIP -- 5 Image Information Extraction -- 6 Learning Rules in cplint -- 7 Applying HESIP to a New Problem Domain -- 8 Generating Explanations -- 9 Experiments -- 10 Comparison -- 11 Conclusion -- References -- An Explainable Recommendation Based on Acyclic Paths in an Edge-Colored Graph -- 1 Introduction -- 2 Preliminary -- 3 Proposed Method -- 3.1 Graph Construction -- 3.2 Acyclic-Path-Based Recommendation -- 3.3 Explanation by Color Sequences -- 4 Experiments -- 4.1 Experimental Setup -- 4.2 Results -- 5 Conclusion -- References -- Knowledge Transfer for Deep Reinforcement Agents in General Game Playing -- 1 Introduction -- 2 Background -- 3 Transfer Learning in Deep RL General Game-Playing Agents -- 3.1 Simple Network Transfer in General Game Playing -- 3.2 Complex Network Transfer -- 3.3 Multitask Training for General Game Playing.
4 Experimental Evaluation -- 4.1 Generic Agent Designs -- 4.2 Game Variations -- 4.3 Evaluation Methodology -- 5 Results and Discussion -- 5.1 Single Network Agents -- 5.2 Complex Network Transfer -- 5.3 Multi-network Agents -- 6 Conclusion and Future Work -- References -- GSMI: A Gradient Sign Optimization Based Model Inversion Method -- 1 Introduction -- 2 Gradient Sign Model Inversion -- 2.1 Threat model -- 2.2 Overview of the Attack -- 2.3 Proposed Model Inversion: GSMI -- 2.4 Two-Pass Components Selection -- 3 Performance Evaluation -- 3.1 Experimental Setup -- 3.2 Results -- 3.3 Discussion -- 4 Related Work -- 5 Summary and Future Work -- References -- Multicollinearity Correction and Combined Feature Effect in Shapley Values -- 1 Introduction -- 2 Proposed Method -- 2.1 MCC Shapley Values for Individual Features -- 2.2 MCC Shapley Values for Combination of Two or More Features -- 2.3 Algorithm of MCC Shapley Value Calculation -- 3 Results -- 3.1 Dataset - House Prices -- 4 Conclusion -- References -- Does a Face Mask Protect My Privacy?: Deep Learning to Predict Protected Attributes from Masked Face Images -- 1 Introduction -- 2 Related Work -- 2.1 Biometrics and Privacy -- 2.2 Face Biometric and Masks -- 2.3 User Perception -- 3 Methodology -- 3.1 User Perception Survey -- 3.2 Dataset and Synthetic Mask Generation -- 3.3 Computer Vision Workflow -- 3.4 Privacy Vulnerability Index(PVI) -- 4 Evaluation Results -- 4.1 User Perception Study -- 4.2 Prediction Accuracy -- 4.3 Impact of Image Attributes -- 4.4 Privacy Invasiveness -- 5 Discussion and Conclusion -- 5.1 Predicting Protected Attributes -- 5.2 Biases from Image Attributes -- 5.3 Privacy Preservation -- 5.4 Limitations -- 5.5 Conclusion and Future Work -- References -- Representation-Induced Algorithmic Bias -- 1 Introduction -- 2 Methods -- 3 Results -- 4 Discussion -- References. Contextual Importance and Utility: A Theoretical Foundation -- 1 Introduction -- 2 Theory -- 2.1 Additive Feature Attribution Methods -- 2.2 Decision Theory and Multi-attribute Utility Theory -- 2.3 Contextual Importance and Utility (CIU) -- 2.4 Contextual Influence -- 2.5 CIU Versus Additive Feature Attribution Methods -- 3 Experimental Evaluation -- 4 Conclusion -- References -- Deeper Insights into Neural Nets with Random Weights -- 1 Introduction -- 2 Literature Review on Polynomial Approximations of Activation Functions -- 3 Analysis -- 4 Simulations -- 5 Conclusions -- References -- Applications -- De Novo Molecular Generation with Stacked Adversarial Model -- 1 Introduction -- 2 Related Works -- 2.1 Generative Adversarial Models -- 2.2 Generative Models for Drug Discovery -- 3 Stacked Bidirectional Adversarial Autoencoder -- 4 Experiments -- 4.1 Dataset Description -- 4.2 Experimental Setup -- 4.3 Experimental Evaluations -- 5 Conclusion -- References -- Tailoring Contact Based Scoring Functions for Protein Structure Prediction -- 1 Introduction -- 2 Preliminaries -- 3 Scoring Functions -- 3.1 Existing Scoring Functions -- 3.2 Proposed Scoring Functions -- 4 Experiments -- 4.1 Experimental Setup -- 4.2 Comparison of Scoring Functions -- 4.3 Comparison with Existing Methods -- 5 Conclusions -- References -- Evaluation of Deep Learning Techniques on a Novel Hierarchical Surgical Tool Dataset -- 1 Introduction -- 2 Class Hierarchies and Training Strategies -- 3 Methodology -- 3.1 Surgery Dataset -- 3.2 Surgery Hierarchy -- 3.3 CNN Training Strategies -- 3.4 Metrics Reported -- 4 Experiments and Results -- 4.1 Does Size Matter? -- 4.2 Class Frequencies -- 5 Conclusions and Future Work -- References -- Feature Extraction Using Wavelet Scattering Transform Coefficients for EMG Pattern Classification -- 1 Introduction. 2 Wavelet Scattering Transform -- 3 Data Acquisition -- 4 Results -- 4.1 Results of BioPatrec-Database -- 4.2 Results of Force-Database -- 4.3 Results of 3DC-Database -- 5 Conclusion -- References -- Modelling Eye-Gaze Movement Using Gaussian Auto-regression Hidden Markov -- 1 Introduction -- 2 Preliminaries -- 2.1 Preparation for Data Collection -- 2.2 Data Collection -- 2.3 Data Pre-processing -- 3 Methodology of Eye Gaze Predictive Modelling -- 3.1 Image Transform -- 3.2 Gaussian Auto-regression Hidden Markov -- 4 Results and Analysis -- 4.1 Eye Gaze Inducted Dynamic Changes -- 4.2 Prediction Performance -- 4.3 Training and Test -- 4.4 Accuracy Analysis -- 5 Conclusion -- References -- Strategies Improve Social Welfare: An Empirical Study of Strategic Voting in Social Networks -- 1 Introduction -- 1.1 Related Work -- 2 Model -- 2.1 Basic Notations and Definitions -- 2.2 Decision Models from the Literature -- 2.3 AU Revised Model -- 2.4 The Iterative Voting Process -- 3 Experiments -- 3.1 Experiment Settings -- 3.2 Results -- 4 Conclusion -- References -- A Network-Based Rating Mechanism Against False-Name Attack -- 1 Introduction -- 2 The Model -- 3 Weighted Rating Mechanism -- 4 Conclusion -- References -- Modular Construction Planning Using Graph Neural Network Heuristic Search -- 1 Introduction -- 2 Related work -- 2.1 Neural Search Based Planning -- 2.2 Graph Generation with Neural Networks -- 3 Problem Formulation -- 4 Approach -- 4.1 Search as Planning and Design -- 4.2 Consistency of the Training Heuristic -- 5 Data Generation and Training -- 5.1 Data Augmentation with Adjacent States -- 5.2 Training -- 6 Performance Evaluation -- 6.1 Ablation Evaluation for Synthetic Data Augmentation -- 7 Conclusions -- References -- Priority-Based Traffic Management Protocols for Autonomous Vehicles on Road Networks -- 1 Introduction. 2 Road Network Modelling -- 3 Priority-Based Traffic Management Protocols -- 3.1 Static Priority Management Protocol -- 3.2 Dynamic Priority Management Protocol -- 3.3 Vehicle-Based Priority Management Protocol -- 4 Experimental Setting and Results -- 4.1 Average Delay for the Static-Priority Management Protocol -- 4.2 Bullwhip Effect for the Static Priority Management Protocol -- 4.3 Average Delay for Different Management Protocols -- 4.4 Latency Function -- 5 Related Work and Conclusion -- References -- Improving Traffic Load Prediction with Multi-modality -- 1 Introduction -- 2 Proposed Method -- 2.1 Mathematical Formulation -- 2.2 Multi-modal Method -- 3 Data Collection and Pre-processing -- 3.1 Multi-modal Data -- 3.2 Traffic Data -- 3.3 Experiment -- 4 Discussion -- 5 Related Works -- 6 Conclusion and Future Works -- References -- Predicting Geological Material Types Using Ground Penetrating Radar -- 1 Introduction -- 2 Background -- 2.1 Site Geology -- 2.2 Interaction of Site Materials and GPR -- 2.3 Machine Learning and Feature Extraction -- 3 Gaussian Ridge Extraction -- 4 Methodology -- 4.1 Signal Segmentation and Classification Process -- 4.2 Feature Extraction Processes -- 4.3 Training and Testing of Machine Learning Models -- 5 Results and Discussion -- 5.1 Individual Feature Extraction Analysis -- 5.2 Concatenation of Features into Combined Feature Space -- 5.3 Application of Feature Selection and Majority Voting -- 6 Conclusions and Future Works -- References -- A Gated Recurrent Neural Network for Electric Vehicle Detection with Imbalanced Samples -- 1 Introduction -- 2 Imbalanced Data Processing -- 2.1 Dynamic Time Warping -- 2.2 DTW Constraints -- 3 Gated Recurrent Units Network -- 4 Empirical Study -- 4.1 Data Preparation -- 4.2 The GRU Network Trianing and Validation -- 5 Conclusion -- References. User-Defined Smart Contracts Using Answer Set Programming. |
| Record Nr. | UNISA-996464450403316 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
AI 2021: Advances in Artificial Intelligence : 34th Australasian Joint Conference, AI 2021, Sydney, NSW, Australia, February 2–4, 2022, Proceedings / / edited by Guodong Long, Xinghuo Yu, Sen Wang
| AI 2021: Advances in Artificial Intelligence : 34th Australasian Joint Conference, AI 2021, Sydney, NSW, Australia, February 2–4, 2022, Proceedings / / edited by Guodong Long, Xinghuo Yu, Sen Wang |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
| Descrizione fisica | 1 online resource (810 pages) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Education - Data processing Social sciences - Data processing Computer vision Application software Artificial Intelligence Computers and Education Computer Application in Social and Behavioral Sciences Computer Vision Computer and Information Systems Applications |
| ISBN | 3-030-97546-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Ethical AI -- An Explanation Module for Deep Neural Networks Facing Multivariate Time Series Classification -- Privacy-preserving in Double Deep-Q-Network with differential privacy in Continuous Spaces -- HESIP: a Hybrid System for Explaining Sub-symbolic Predictions -- An Explainable Recommendation Based on Acyclic Paths in an Edge-Colored Graph -- Knowledge Transfer for Deep Reinforcement Agents in General Game Playing -- GSMI: A Gradient Sign Optimization Based Model Inversion Method -- Multicollinearity Correction and Combined Feature Effect in Shapley Values -- Does a Face Mask Protect my Privacy? Using Deep Learning to Predict Protected Attributes from Masked Face Images -- Representation-Induced Algorithmic Bias: An empirical assessment of behavioural equivalence over 14 reinforcement learning algorithms across 4 isomorphic gameform representations -- Contextual Importance and Utility: a Theoretical Foundation -- Deeper Insights into Neural Nets with Random Weights -- Applications -- De Novo Molecular Generation with SBiAAE -- Tailoring Contact Based Scoring Functions for Protein Structure Prediction -- Evaluation of Deep Learning Techniques on a Novel Hierarchical Surgical Tool Dataset -- Feature Extraction Using Wavelet Scattering Transform Coefficients for EMG Pattern Classification -- Modelling Eye-gaze Movement using Gaussian Auto-regression Hidden Markov -- Strategies Improve Social Welfare: An Empirical Study of Strategic Voting in Social Networks -- A Network-based Rating Mechanism Against False-Name Attack -- Modular Construction Planning using Graph Neural Network Heuristic Search -- Priority-based Traffic Management Protocol for Autonomous Vehicles on Road Network -- Improving Traffic Load Prediction with Multi-Modality: A Case Study of Brisbane -- Predicting Geological Material Types with Ground Penetrating Radar -- A Gated Recurrent Neural Network for Electric Vehicle Detection with Imbalanced Samples -- User-Defined Smart Contracts using Answer Set Programming -- Predicting Financial Literacy via Semi-supervised Learning -- Machine Teaching-based Efficient Labelling for Cross-unit Healthcare Data Modelling -- Predicting COVID-19 Patient Shielding: A Comprehensive Study -- Machine learning algorithms in application to COVID-19 severity prediction in patients -- Identifying the effective restriction and vaccination policies during the COVID-19 crisis in Sydney: A machine learning approach -- Beyond Topics: Discovering Latent Healthcare Objectives from Event Sequences -- Predicting Outcomes for Cancer Patients with Transformer-based Multi-task Learning -- Deep Reinforcement Learning for DynamicThings of Interest Recommendation in Intelligent Ambient Environment -- A Self-Learning Approach for Baggiatoa Coverage Estimation in Aquaculture -- Real-time prediction of the lane-based delay for group-based adaptive traffic operations using Long Short-Term Memory -- Exploring Transformers for Intruder Detection in Complex Maritime Environment -- Transfer Learning Assisted GPHH for Dynamic Multi-Workflow Scheduling in Cloud Computing -- Automated Image Classification in the Diagnosis of Knee MRI -- Classical AI -- Analysing multiobjective optimization using evolutionary path length correlation -- Decentralizing Self-organizing Maps -- A heuristic repair algorithm for the maximum stable marriage problem with ties and incomplete lists -- The Hierarchical Discrete Learning Automaton Suitable for Environments with Many Actions and High Accuracy Requirements -- Hybrid Grouping Genetic Algorithm for Large-scale Two-Level Resource Allocation of Containers in the Cloud -- Transfer Learning for Autonomous Recognition of Swarm Behaviour in UGVs -- Multivariate Ordinal Patterns for Symmetry Approximation in Dynamic Probabilistic Relational Models -- A Hybrid Multiagent-based Rescheduling Mechanism for Open and Stochastic Environments Concerning the Execution Stage -- BiES: Adaptive Policy Optimization for Model-based Offline Reinforcement Learning -- Improvement of Arc Consistency in Asynchronous Forward Bounding algorithm -- Computer Vision and Machine Learnin -- GAN-Assisted YUV Pixel Art Generation -- Investigating Active Positive-Unlabeled Learning with Deep Networks -- UFO RPN: A Region Proposal Network for Ultra Fast Object Detection -- Accurate New Zealand Wildlife Image Classification- Deep learning approach -- Better Self-training for Image Classification through Self-supervision -- Video-based Student Engagement Estimation via Time Convolution Neural Networks for Remote Learning -- Eye Movement and Visual Target Synchronization Level Detection Using Deep Learning -- Vehicle Detection Based on Cascade Deep Learning Method Using Deformed Oriented Bounding Box -- Improving Evolutionary Generative Adversarial Networks -- Natural Language Processing and Data Mining -- Focus-based Text Summarization with Hybrid Embeddings -- An Empirical Study of Fuzzy Decision Tree for Gradient Boosting Ensemble -- SimSCL : A Simple fully-Supervised Contrastive Learning Framework for Text Representation -- KPCR: Knowledge graph enhanced Personalized Course Recommendation -- Probabilistic Term Weighting based on Three-Way Decisions for Class Based Feature Selection -- LTWNN: A Novel Approach using Sentence Embeddings for Extracting Diverse Concepts in MOOCs -- ETBTRank: Ranking Biterms in Paper Titles for Emerging Topic Discovery -- Network Analysis -- Inference of Geological Material Groups Using Structural Monitoring Sensors on Excavators. |
| Record Nr. | UNINA-9910552712103321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Complex Systems and Networks : Dynamics, Controls and Applications / / edited by Jinhu Lü, Xinghuo Yu, Guanrong Chen, Wenwu Yu
| Complex Systems and Networks : Dynamics, Controls and Applications / / edited by Jinhu Lü, Xinghuo Yu, Guanrong Chen, Wenwu Yu |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (VIII, 482 p. 196 illus., 158 illus. in color.) |
| Disciplina | 004.21 |
| Collana | Understanding Complex Systems |
| Soggetto topico |
Dynamics
Nonlinear theories Graph theory Nonlinear optics Applied Dynamical Systems Graph Theory Nonlinear Optics |
| ISBN | 3-662-47824-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Discovering Cluster Dynamics Using Kernel Spectral Methods -- Community Detection in Bipartite Networks: Algorithms and Case Studies -- Epidemiological Modeling on Complex Networks -- Resilience of Spatial Networks -- Synchronization and Control of Hyper and Colored Networks -- New Nonlinear CPRNG Based on Tent and Logistic Maps -- Distributed Finite-time Cooperative Control of Multi-agent Systems -- Composite Finite-time Containment Control for Disturbed Second-order multi-agent Systems.-Application of Fractional-order Calculus in a Class of Multi-Agent System -- Chaos Control and Anticontrol of Complex Systems via Parrondo’s Game -- Collective Behavior Coordination with Predictive Mechanisms -- Convergence, Consensus and Synchronization of Complex Networks via Contraction Theory -- Towards Structural Controllability of Temporal Complex Networks.-A General Model for Studying Time Evolution of Transition Networks -- Deflection Routing in Complex Networks -- Recommender Systems for Social Networks Analysis and Mining:Precision vs. Diversity -- Strategy Selection in Networked Evolutionary Games: Structural Effect and the Evolution of Cooperation -- Network Analysis, Integration and Methods in Computational Biology. |
| Record Nr. | UNINA-9910254183803321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Recent Advances in Sliding Modes: From Control to Intelligent Mechatronics / / edited by Xinghuo Yu, Mehmet Önder Efe
| Recent Advances in Sliding Modes: From Control to Intelligent Mechatronics / / edited by Xinghuo Yu, Mehmet Önder Efe |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (460 p.) |
| Disciplina |
519
620 629.8 |
| Collana | Studies in Systems, Decision and Control |
| Soggetto topico |
Automatic control
Mechatronics System theory Control theory Control and Systems Theory Systems Theory, Control |
| ISBN | 3-319-18290-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | My Friend Professor Okyay Kaynak -- Continuous Nested Algorithms: The Fifth Generation of Sliding Mode Controllers -- Decentralised Sliding Mode Control for Nonlinear Interconnected Systems with Application to a Continuously Stirred Tank Reactor -- Integral Sliding Mode Control of Multi-Input Nonlinear Uncertain Non-Affine Systems -- Dynamical Behaviors of Discrete-Time Fast Terminal Sliding Mode Control Systems -- A New Class of Non-linear Reaching Laws for Sliding Mode Control of Discrete Time Systems -- Sliding Mode Order and Accuracy in Sliding Mode Adaptation and Convergence Acceleration -- Event-Triggered Sliding Mode Control for Robust Stabilisation of Linear Multivariable Systems -- A Nonhomogeneous Super-Twisting Algorithm -- Global Multivariable Hybrid Estimator for Non uniform Relative Degree Systems with Uncertainties and Disturbances -- Sliding Mode Control of Switched Stochastic Hybrid Systems -- Sliding Mode Control for Unmanned Aerial Vehicles Research -- Selected Problems of Discontinues Control of Inverter Fed Induction Motor Drives -- Tensor Product Model Transformation Based Sliding Mode Design for LPV systems -- Sliding Mode Control for a Robotic Fish -- Variable Structure Control of a Perturbed Crane: Parametric Resonance Case Study -- Controlling the Pitch and Yaw Angles of a 2-DOF Helicopter Using Interval Type-2 Fuzzy Neural Networks -- Fuzzy Control of Direct Drive Manipulators -- Model Reduction for Sliding Mode Control of Rapid Thermal Processing System -- A Classification and Overview of Sliding Mode Controller Sliding Surface Design Methods -- Multiple Surface Sliding Mode Control for an Autonomous Quadrotor Helicopter. |
| Record Nr. | UNINA-9910299840403321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||