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Fuzzy logic hybrid extensions of neural and optimization algorithms : theory and applications / / editors, Oscar Castillo, Patricia Melin
| Fuzzy logic hybrid extensions of neural and optimization algorithms : theory and applications / / editors, Oscar Castillo, Patricia Melin |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (ix, 383 pages) : illustrations |
| Disciplina | 511.3 |
| Collana | Studies in computational intelligence |
| Soggetto topico |
Fuzzy logic
Neural networks (Computer science) Soft computing Lògica difusa Xarxes neuronals (Informàtica) Optimització matemàtica Informàtica tova Algorismes |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-030-68776-7 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Contents -- Estimation of the Number of Filters in the Convolution Layers of a Convolutional Neural Network Using a Fuzzy Logic System -- 1 Introduction -- 2 Literature Review -- 2.1 Convolutional Neural Networks -- 2.2 GSA -- 2.3 FGSA -- 3 Proposed Method -- 4 Results and Discussion -- 5 Conclusions -- References -- Optimization of Membership Function Parameters for Fuzzy Controllers in Cruise Control Problem Using the Multi-verse Optimizer -- 1 Introduction -- 2 Fuzzy Systems -- 2.1 Mamdani Model -- 2.2 Sugeno Model -- 3 Control Systems -- 4 Metaheuristics and Multi-verse Optimizer -- 4.1 Multi-verse Optimizer -- 4.2 Applications of MVO -- 5 Test and Results -- 5.1 Benchmark Function Test and Results -- 5.2 Applications Test and Results -- 6 Conclusions -- References -- Performance Analysis of a Distributed Steady-State Genetic Algorithm Using Low-Power Computers -- 1 Introduction -- 2 Distributed Steady-State Genetic Algorithm -- 2.1 Application of Distributed Steady-State Genetic Algorithm in the n-Queens Problem -- 2.2 Application of Distributed Steady-State Genetic Algorithm in the Travelling Salesman Problem -- 3 Master-Slave Low Power Architecture -- 3.1 Rationale on Master-Slave Architecture Starting Procedure -- 3.2 Function Evaluation Task on Slave-Devices -- 3.3 Fail-Safe Algorithm on Master-Device -- 4 Computational Results -- 4.1 Experimental Setup -- 4.2 n-Queens Problem Experimental Arrangement Results -- 4.3 Travelling Salesman Problem Results -- 5 Conclusions and Future Work -- References -- Ensemble Recurrent Neural Networks for Complex Time Series Prediction with Integration Methods -- 1 Introduction -- 2 Problem Statement and Proposed Method -- 2.1 Analyze the Time Series -- 2.2 Creation of the Recurrent Neural Network -- 2.3 Integration by Average -- 2.4 Integration by Weighted Average.
2.5 Integration by Gating Network -- 2.6 Type-1 and Type-2 Fuzzy System Integration -- 2.7 Generalized Type-2 Fuzzy System -- 3 Simulation Results -- 4 Conclusions -- References -- Genetic Optimization of Ensemble Neural Network Architectures for Prediction of COVID-19 Confirmed and Death Cases -- 1 Introduction -- 2 Basic Concepts -- 2.1 Artificial Neural Networks -- 2.2 Nonlinear Autoregressive Neural Network -- 2.3 Fuzzy Logic -- 2.4 Genetic Algorithms -- 3 Proposed Method -- 4 Results of the Experiment -- 4.1 Genetic Algorithms -- 5 Conclusions -- References -- Optimization of Modular Neural Networks for the Diagnosis of Cardiovascular Risk -- 1 Introduction -- 2 Literature Review -- 2.1 Flower Pollination Algorithm -- 2.2 Bird Swarm Algorithm -- 2.3 Blood Pressure and Hypertension -- 2.4 Cardiovascular Disease and Heart Age -- 2.5 Framingham Heart Study -- 3 Proposed Method -- 4 Results -- 5 Conclusions and Future Work -- References -- A Review on the Cuckoo Search Algorithm -- 1 Introduction -- 2 An Analogy with Nature -- 2.1 Cuckoo Search Algorithm -- 2.2 Algorithm Rules -- 2.3 Levy Flights -- 2.4 Mathematical Formulas -- 2.5 Flowchart CS -- 3 Implementation of Levy Flights in Other Algorithms -- 4 Variants of the Cuckoo Search Algorithm -- 5 Applications -- 6 Conclusions -- References -- An Improved Convolutional Neural Network Based on a Parameter Modification of the Convolution Layer -- 1 Introduction -- 2 Background and Basic Concepts -- 2.1 Convolutional Neural Network Concepts -- 2.2 Edge Detectors -- 2.3 Sobel Operator -- 2.4 Prewitt Operator -- 2.5 Laplacian Operator -- 3 Proposed Approach -- 3.1 Proposed Architecture -- 3.2 Convolution Kernel Initialization -- 4 Experiments -- 4.1 Case Study MNIST Handwritten Digits -- 4.2 Case Study MNIST American Sign Language -- 4.3 Case Study Mexican Sign Language Database -- 5 Conclusions. References -- Parameter Optimization of a Convolutional Neural Network Using Particle Swarm Optimization -- 1 Introduction -- 2 Convolutional Neural Network -- 2.1 Input Layer -- 2.2 Convolution Layer -- 2.3 Non-linearity Layer -- 2.4 Pooling Layer -- 2.5 Classifier Layer -- 3 Particle Swarm Optimization -- 3.1 Global Best PSO -- 3.2 Local Best PSO -- 4 Proposed Method -- 4.1 Parameter Optimization of the CNN -- 4.2 CNN-PSO Optimization Process -- 5 Experiments and Results -- 5.1 Exploratory Experiment -- 5.2 American Sign Language Alphabet (ASL Alphabet) Experiment -- 5.3 American Sign Language MNIST Experiment -- 5.4 Analysis and Comparison of Results -- 6 Conclusion and Future Work -- References -- One-Dimensional Bin Packing Problem: An Experimental Study of Instances Difficulty and Algorithms Performance -- 1 Introduction -- 2 The Bin Packing Problem -- 2.1 Instances -- 2.2 Index Description -- 2.3 Performance Measures -- 3 Algorithms -- 3.1 First Fit Decreasing (FFD) -- 3.2 Best Fit Decreasing (BFD) -- 3.3 Minimum Bin Slack (MBS) -- 3.4 GGA-CGT -- 4 Results -- 5 Experimental Analysis -- 5.1 Class BPP.25 -- 5.2 Class BPP.5 -- 5.3 Class BPP.75 -- 5.4 Class BPP1 -- 6 Conclusions and Future Work -- References -- Looking for Emotions in Evolutionary Art -- 1 Introduction -- 2 In Search of Lost Emotions -- 2.1 Humans in the EA Loop -- 3 Methodology: Analysis of Emotions in the Era of Evolutionary Art -- 3.1 The Line -- 3.2 Simplifying the Problem -- 3.3 Evospace-Interactive Module -- 4 Results -- 4.1 Analyzing Formal Elements -- 4.2 Are Emotions Properly Understood? -- 4.3 Audience Analysis -- 4.4 International Art Competitions -- 5 Conclusion -- References -- Review of Hybrid Combinations of Metaheuristics for Problem Solving Optimization -- 1 Introduction -- 2 Review of Hybrid or Combined Metaheuristics -- 3 Discussion -- 4 Conclusions. References -- GPU Accelerated Membrane Evolutionary Artificial Potential Field for Mobile Robot Path Planning -- 1 Introduction -- 2 Fundamentals -- 2.1 Membrane Computing -- 2.2 Evolutionary Computation -- 2.3 Artificial Potential Field Method -- 3 GPU Accelerated MemEAPF -- 4 Results -- 4.1 Path Planning Results -- 4.2 Performance Results -- 5 Conclusions -- References -- Optimization of the Internet Shopping Problem with Shipping Costs -- 1 Introduction -- 1.1 Definition of the Problem -- 2 The General Structure of the Memetic Algorithm -- 2.1 Selection by Tournament -- 2.2 Crossover Operator -- 2.3 Mutation Operator -- 2.4 Local Search -- 2.5 Memetic Algorithm (MAIShOP) -- 3 Computational Experiments -- 4 Conclusions -- References -- Multiobjective Algorithms Performance When Solving CEC09 Test Instances -- 1 Introduction -- 2 Multiobjective Optimization -- 3 CEC09 Test Functions -- 4 Multiobjective Optimization Algorithms -- 5 Performance Metrics of Multiobjective Optimization -- 6 Computational Experiments -- 7 Conclusion and Future Work -- References -- Analysis of the Efficient Frontier of the Portfolio Selection Problem Instance of the Mexican Capital Market -- 1 Introduction -- 2 Multiobjective Algorithms in Comparison -- 3 CellDE -- 4 GDE3 -- 5 IBEA -- 6 MOCell -- 7 NSGA-II -- 8 NSGA-III -- 9 OMOPSO -- 10 PAES -- 11 SPEA2 -- 12 Computational Experiments -- 13 Conclusions -- References -- Multi-objective Portfolio Optimization Problem with Trapezoidal Fuzzy Parameters -- 1 Introduction -- 2 Elements of Fuzzy Theory -- 2.1 Fuzzy Sets -- 2.2 Generalized Fuzzy Numbers -- 2.3 Addition Operator -- 2.4 Graded Mean Integration (GMI) -- 2.5 Order Relation in the Set of the Trapezoidal Fuzzy Numbers -- 2.6 Pareto Dominance -- 3 Multi-objective Portfolio Optimization Problem with Trapezoidal Fuzzy Parameters -- 4 Proposal Algorithm T-NSGA-II. 4.1 Representation of the Solutions -- 4.2 Evaluating the Solutions -- 4.3 One-Point Crossover Operator -- 4.4 Uniform Mutation Operator -- 4.5 Initial Population -- 4.6 Population Sorting -- 4.7 No-Dominated Sorting -- 4.8 Calculating the Crowding Distance (Deb et al. 2000) -- 4.9 Calculating the Spatial Spread Deviation (SSD) (Santiago et al. 2019) -- 4.10 Pseudocode of the T-NSGA-II Algorithm -- 5 Proposed Strategy to Assess the Performance of Multi-objective Algorithms in the Fuzzy Trapezoidal Numbers Domain -- 6 Computational Experiments -- 7 Conclusions -- References -- A Study on the Use of Hyper-heuristics Based on Meta-Heuristics for Dynamic Optimization -- 1 Introduction -- 2 Background and Definitions -- 2.1 Dynamic Multi-objective Optimization Problem -- 2.2 Dynamic Multi-objective Evolutionary Algorithm -- 2.3 Hyper-heuristic -- 2.4 Indicators to Evaluate DMOEAs Performance Over DMOPs -- 3 Relevant Properties to Consider from DMOPs -- 3.1 Objective Function -- 3.2 Decision Variables -- 3.3 Constraints -- 4 Known Hyper-heuristic Approaches Towards Solving DOPs -- 5 Proposed Checklist and Design Guide for Dynamic Hyper-heuristics -- 6 Case Studies Using the Proposed Guide and Checklist -- 6.1 Case Study 1 -- 6.2 Case Study 2 -- 7 Conclusions and Future Work -- References -- On the Adequacy of a Takagi-Sugeno-Kang Protocol as an Empirical Identification Tool for Sigmoidal Allometries in Geometrical Space -- 1 Introduction -- 2 Methods -- 2.1 Model of Complex Allometry -- 2.2 TSK Fuzzy Model -- 2.3 Data -- 2.4 Reproducibility Assessment -- 2.5 TSK Identification Procedures -- 2.6 Piecewise-Linear Schemes -- 3 Results -- 4 Discussion -- 5 Conclusion -- References -- A New Hybrid Method Based on ACO and PSO with Fuzzy Dynamic Parameter Adaptation for Modular Neural Networks Optimization -- 1 Introduction -- 2 Proposed Method. 2.1 Ant System and ACO Algorithm. |
| Record Nr. | UNINA-9910483557103321 |
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Proceedings of 3rd international conference on computing informatics and networks : ICCIN 2020 / / Editors, Ajith Abraham, Oscar Castillo and Deepali Virmani
| Proceedings of 3rd international conference on computing informatics and networks : ICCIN 2020 / / Editors, Ajith Abraham, Oscar Castillo and Deepali Virmani |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Gateway East, Singapore : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (XLI, 659 p. 317 illus., 198 illus. in color.) |
| Disciplina | 004 |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Computer science
Computer networks |
| ISBN | 981-15-9712-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Experimental Comparison & Scientometric Inspection of Research for Word Embeddings -- Review of Text Summarization in Indian Regional Languages -- A Systematic Literature Review of Automated Software Testing Tool -- Device Level Authentication Protocol for Wireless Body Area Networks -- Conceptualization Model for Cyber Secure National Time Dissemination System -- A Review on Human Behavior Using Machine Learning for Ambient Assisted Living -- Prediction of Kyphosis Disease Using Machine Learning -- CNN Performance Evaluation for Image Classification -- Calculating the Proof of Work using Volunteer Computing -- Performance Evaluation of Rectangular Microstrip Patch Antenna based on Defected Ground Structures -- Design of IoT based Smart Illumination System in Smart Cities -- Rank Correaltion For Attribute Selection of Cardiac Patient Data -- Breast Cancer Histopathology Image Classification using Soft Voting Classifier -- Auto Vectorisation capabilities of the compilers. |
| Record Nr. | UNINA-9910484745303321 |
| Gateway East, Singapore : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Recent Advances in Modeling, Analysis and Systems Control: Theoretical Aspects and Applications / / edited by El Hassan Zerrik, Said Melliani, Oscar Castillo
| Recent Advances in Modeling, Analysis and Systems Control: Theoretical Aspects and Applications / / edited by El Hassan Zerrik, Said Melliani, Oscar Castillo |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (274 pages) : illustrations (some color) |
| Disciplina |
531.11
003 |
| Collana | Studies in Systems, Decision and Control |
| Soggetto topico |
Automatic control
Dynamics Nonlinear theories Computational intelligence Control and Systems Theory Applied Dynamical Systems Computational Intelligence |
| ISBN |
9783030261498
3030261492 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Nonlinear elliptic boundary value problems by Topological degree -- On some class of quasilinear elliptic systems with weak monotonicity -- A sub-supersolutions method for a class of weighted (p(:);q(:)) Laplacian systems -- Boundary Regional Controllability of Linear Boolean Cellular Automata using Markov chain -- Fuzzy solutions for impulsive evolution equations -- Regional strong stabilization and robustness optimal control of semilinear systems -- Solving generalized fractional Schrodinger’s equation by mean generalized fixed point -- Relaxed controllability for parabolic linear systems using RHUM approach -- A New Mathematical Model for the Efficiency Calculation -- Minimum energy control of fractional linear systems using Caputo–Fabrizio derivative -- Parametric identification of the dynamics of inter-sectoral balance: modelling and forecasting -- Ekeland’s variational principle for the fractional p(x)-Laplacian operator -- Observer-based tracking control design for a class of nonlinear discrete-time systems -- On the output stabilization for a class of infinite dimensional bilinear systems -- Bilinear boundary control problem of an output of parabolic systems -- Optimal Control of a Parabolic Trough Receiver Distributed Model -- Strong and exponential stabilization for a class of second order semilinear systems -- On the fractional output stabilization for a class of infinite dimensional linear systems -- Regional boundary observability with constraints on the state of semilinear parabolic systems. |
| Record Nr. | UNINA-9910483069003321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Recent advances on hybrid intelligent systems / / Oscar Castillo, Patricia Melin, and Janusz Kacprzyk (eds.)
| Recent advances on hybrid intelligent systems / / Oscar Castillo, Patricia Melin, and Janusz Kacprzyk (eds.) |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Berlin ; ; Heidelberg, : Springer, c2013 |
| Descrizione fisica | 1 online resource (XII, 572 p.) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
CastilloOscar <1959->
MelinPatricia <1962-> KacprzykJanusz |
| Collana | Studies in computational intelligence |
| Soggetto topico |
Artificial intelligence
Soft computing |
| ISBN |
9783642330216
3642330215 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part I Hybrid Intelligent Systems for Control and Robotics -- Part II Hybrid Intelligent Systems for Pattern Recognition and Time Series Prediction -- Part III Bio-Inspired and Genetic Optimization Methods .-Part IV Intelligent Optimization and Applications -- Part V Evolutionary Methods and Intelligent Computing . |
| Record Nr. | UNINA-9910437762603321 |
| Berlin ; ; Heidelberg, : Springer, c2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Soft computing applications in optimization, control, and recognition / / Patricia Melin and Oscar Castillo (eds.)
| Soft computing applications in optimization, control, and recognition / / Patricia Melin and Oscar Castillo (eds.) |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Heidelberg ; ; New York, : Springer, c2013 |
| Descrizione fisica | 1 online resource (VIII, 344 p.) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
CastilloOscar <1959->
MelinPatricia <1962-> |
| Collana | Studies in fuzziness and soft computing |
| Soggetto topico |
Intelligent control systems
Mathematical optimization Pattern perception Soft computing |
| ISBN |
9783642353239
3642353231 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part I Optimization Methods and Applications -- Part II Soft Computing in Intelligent Control Applications -- Part III Soft Computing in Pattern Recognition Applications -- Part IV Soft Computing: Theory and new Models. |
| Record Nr. | UNINA-9910438045703321 |
| Heidelberg ; ; New York, : Springer, c2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Stabilization of infinite dimensional systems / / El Hassan Zerrik, Oscar Castillo
| Stabilization of infinite dimensional systems / / El Hassan Zerrik, Oscar Castillo |
| Autore | Zerrik El Hassan |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (xii, 315 pages) : illustrations |
| Disciplina | 006.3 |
| Collana | Studies in systems, decision and control |
| Soggetto topico |
Computational intelligence
Automatic control |
| ISBN | 3-030-68600-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Contents -- Notations -- 1 Introduction -- References -- 2 Stabilization of Infinite Dimensional Linear Systems -- 2.1 Linear Semigroups -- 2.2 Stability of Infinite Dimensional Linear Systems -- 2.2.1 Definitions-Examples -- 2.2.2 Characterizations -- 2.3 Stabilization of Infinite Dimensional Linear Systems -- 2.3.1 Characterizations -- 2.3.2 Optimal Stabilization Problem -- References -- 3 Stabilization of Infinite Dimensional Semilinear Systems -- 3.1 Well Posed Systems -- 3.2 Stabilization of Infinite Dimensional Bilinear Systems -- 3.3 Stabilization of Infinite Dimensional Semilinear Systems -- 3.3.1 Existence and Uniqueness Results -- 3.3.2 Stabilization Results -- References -- 4 Regional Stabilization of Infinite Dimensional Linear Systems -- 4.1 Internal Regional Stability -- 4.1.1 Definitions -- 4.1.2 Examples -- 4.1.3 Characterization of Regional Stability -- 4.2 Internal Regional Stabilization -- 4.2.1 Definitions -- 4.2.2 Characterizations -- 4.2.3 Regional Stabilizing Control -- 4.2.4 Low Cost Regional Stabilization Problem -- 4.3 Numerical Examples -- 4.3.1 One Dimensional Case -- 4.3.2 Two Dimensional Case -- 4.4 Regional Boundary Stabilization -- 4.5 Optimal Control for Regional Boundary Stabilization -- 4.5.1 Direct Approach -- 4.5.2 Internal Approach -- References -- 5 Regional Stabilization of Infinite Dimensional Bilinear Systems -- 5.1 Regional Stabilization -- 5.1.1 Regional Exponential Stabilization -- 5.1.2 Regional Weak Stabilization -- 5.1.3 Regional Strong Stabilization -- 5.2 Regional Stabilization Problem -- 5.2.1 Case of Isometries Semigroup -- 5.2.2 Case of Contractions Semigroup -- 5.3 Simulation Results -- References -- 6 Regional Stabilization of Infinite Dimensional Semilinear Systems -- 6.1 Regional Stabilization -- 6.1.1 Regional Exponential Stabilization.
6.1.2 Regional Strong Stabilization -- 6.1.3 Regional Weak Stabilization -- 6.2 Regional Stabilization Problem -- 6.3 Simulation Results -- References -- 7 Output Stabilization of Infinite Dimensional Semilinear Systems -- 7.1 Output Stabilization of Semilinear Systems -- 7.1.1 Output Exponential Stabilization -- 7.1.2 Output Strong Stabilization -- 7.1.3 Output Weak Stabilization -- 7.2 Output Stabilization of Bilinear Systems -- 7.2.1 Output Exponential Stabilization -- 7.2.2 Output Strong Stabilization -- 7.2.3 Output Weak Stabilization -- 7.2.4 Examples -- 7.3 Simulations -- References -- 8 Stabilization of Infinite Dimensional Second Order Semilinear Systems -- 8.1 Stabilization of Bilinear Systems -- 8.1.1 Strong Stabilization -- 8.1.2 Exponential Stabilization -- 8.2 Stabilization of Semilinear Systems -- 8.2.1 Strong Stabilization -- 8.2.2 Exponential Stabilization -- 8.3 Regional Stabilization of Second Order Semilinear Systems -- 8.3.1 Regional Stabilization of Bilinear Systems -- 8.3.2 Regional Stabilization of Semilinear Systems -- 8.4 Simulations Results -- References -- 9 Gradient Stabilization of Infinite Dimensional Linear Systems -- 9.1 Gradient Stability-Definitions-Examples -- 9.2 Characterizations of Gradient Stability -- 9.3 Gradient Stabilization for Infinite Dimensional System -- 9.3.1 State Space Decomposition -- 9.3.2 Riccati Method -- 9.4 Gradient Stabilization Control Problem -- 9.5 Numerical Algorithm and Simulations -- References -- 10 Regional Gradient Stabilization of Infinite Dimensional Linear Systems -- 10.1 Regional Gradient Stability -- 10.1.1 Definitions -- 10.1.2 Characterizations -- 10.2 Gradient Stabilization -- 10.2.1 Stabilizing Control -- 10.2.2 State Space Decomposition -- 10.2.3 Lower Cost Gradient Stabilization Problem -- 10.2.4 Numerical Approach and Simulations -- References. 11 Gradient Stabilization of Infinite Dimensional Bilinear Systems -- 11.1 Gradient Stabilization of Bilinear Systems -- 11.1.1 Gradient Exponential Stabilization -- 11.1.2 Gradient Strong Stabilization -- 11.1.3 Gradient Weak Stabilization -- 11.2 Regional Gradient Stabilization of Bilinear Systems -- 11.2.1 Regional Stabilizing Control -- 11.2.2 State Space Decomposition -- 11.2.3 Problem of Regional Gradient Stabilization -- 11.3 Numerical Approach and Simulations -- 11.3.1 Regional Gradient Stabilization Case -- 11.3.2 Gradient Stabilization Case -- References -- 12 Regional Gradient Stabilization of Infinite Dimensional Semilinear Systems -- 12.1 Controls for Regional Gradient Stabilization -- 12.1.1 Regional Gradient Strong Stabilization -- 12.1.2 Regional Gradient Weak Stabilization -- 12.2 Regional Gradient Stabilization Problem -- 12.3 Simulation Results -- References -- 13 Conclusion and Perspectives -- Appendix References -- -- Index. |
| Record Nr. | UNINA-9910483294703321 |
Zerrik El Hassan
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| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Vision-based mobile robot control and path planning algorithms in obstacle environments using type-2 fuzzy logic / / edited by Mahmut Dirik, Oscar Castillo, Fatih Kocamaz
| Vision-based mobile robot control and path planning algorithms in obstacle environments using type-2 fuzzy logic / / edited by Mahmut Dirik, Oscar Castillo, Fatih Kocamaz |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (143 pages) : illustrations |
| Disciplina | 629.8932 |
| Collana | Studies in Fuzziness and Soft Computing |
| Soggetto topico | Computational intelligence |
| ISBN | 3-030-69247-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910484857503321 |
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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