Analysis and Synthesis for Interval Type-2 Fuzzy-Model-Based Systems

Analysis and Synthesis for Interval Type-2 Fuzzy-Model-Based Systems

Author: Hongyi Li

Publisher: Springer

Published: 2016-02-29

Total Pages: 263

ISBN-13: 9811005931

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This book develops a set of reference methods capable of modeling uncertainties existing in membership functions, and analyzing and synthesizing the interval type-2 fuzzy systems with desired performances. It also provides numerous simulation results for various examples, which fill certain gaps in this area of research and may serve as benchmark solutions for the readers. Interval type-2 T-S fuzzy models provide a convenient and flexible method for analysis and synthesis of complex nonlinear systems with uncertainties.


Book Synopsis Analysis and Synthesis for Interval Type-2 Fuzzy-Model-Based Systems by : Hongyi Li

Download or read book Analysis and Synthesis for Interval Type-2 Fuzzy-Model-Based Systems written by Hongyi Li and published by Springer. This book was released on 2016-02-29 with total page 263 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book develops a set of reference methods capable of modeling uncertainties existing in membership functions, and analyzing and synthesizing the interval type-2 fuzzy systems with desired performances. It also provides numerous simulation results for various examples, which fill certain gaps in this area of research and may serve as benchmark solutions for the readers. Interval type-2 T-S fuzzy models provide a convenient and flexible method for analysis and synthesis of complex nonlinear systems with uncertainties.

Analysis and Synthesis of Singular Systems

Analysis and Synthesis of Singular Systems

Author: Zhiguang Feng

Publisher: Academic Press

Published: 2020-11-04

Total Pages: 264

ISBN-13: 0128237406

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Analysis and Synthesis of Singular Systems provides a base for further theoretical research and a design guide for engineering applications of singular systems. The book presents recent advances in analysis and synthesis problems, including state-feedback control, static output feedback control, filtering, dissipative control, H8 control, reliable control, sliding mode control and fuzzy control for linear singular systems and nonlinear singular systems. Less conservative and fresh novel techniques, combined with the linear matrix inequality (LMI) technique, the slack matrix method, and the reciprocally convex combination approach are applied to singular systems. This book will be of interest to academic researchers, postgraduate and undergraduate students working in control theory and singular systems. Discusses recent advances in analysis and synthesis problems for linear singular systems and nonlinear singular systems Offers a base for further theoretical research as well as a design guide for engineering applications of singular systems Presents several necessary and sufficient conditions for delay-free singular systems and some less conservative results for time-delay singular systems


Book Synopsis Analysis and Synthesis of Singular Systems by : Zhiguang Feng

Download or read book Analysis and Synthesis of Singular Systems written by Zhiguang Feng and published by Academic Press. This book was released on 2020-11-04 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: Analysis and Synthesis of Singular Systems provides a base for further theoretical research and a design guide for engineering applications of singular systems. The book presents recent advances in analysis and synthesis problems, including state-feedback control, static output feedback control, filtering, dissipative control, H8 control, reliable control, sliding mode control and fuzzy control for linear singular systems and nonlinear singular systems. Less conservative and fresh novel techniques, combined with the linear matrix inequality (LMI) technique, the slack matrix method, and the reciprocally convex combination approach are applied to singular systems. This book will be of interest to academic researchers, postgraduate and undergraduate students working in control theory and singular systems. Discusses recent advances in analysis and synthesis problems for linear singular systems and nonlinear singular systems Offers a base for further theoretical research as well as a design guide for engineering applications of singular systems Presents several necessary and sufficient conditions for delay-free singular systems and some less conservative results for time-delay singular systems

Polynomial Fuzzy Model-Based Control Systems

Polynomial Fuzzy Model-Based Control Systems

Author: Hak-Keung Lam

Publisher: Springer

Published: 2016-07-18

Total Pages: 307

ISBN-13: 3319340948

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This book presents recent research on the stability analysis of polynomial-fuzzy-model-based control systems where the concept of partially/imperfectly matched premises and membership-function dependent analysis are considered. The membership-function-dependent analysis offers a new research direction for fuzzy-model-based control systems by taking into account the characteristic and information of the membership functions in the stability analysis. The book presents on a research level the most recent and advanced research results, promotes the research of polynomial-fuzzy-model-based control systems, and provides theoretical support and point a research direction to postgraduate students and fellow researchers. Each chapter provides numerical examples to verify the analysis results, demonstrate the effectiveness of the proposed polynomial fuzzy control schemes, and explain the design procedure. The book is comprehensively written enclosing detailed derivation steps and mathematical derivations also for readers without extensive knowledge on the topics including students with control background who are interested in polynomial fuzzy model-based control systems.


Book Synopsis Polynomial Fuzzy Model-Based Control Systems by : Hak-Keung Lam

Download or read book Polynomial Fuzzy Model-Based Control Systems written by Hak-Keung Lam and published by Springer. This book was released on 2016-07-18 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents recent research on the stability analysis of polynomial-fuzzy-model-based control systems where the concept of partially/imperfectly matched premises and membership-function dependent analysis are considered. The membership-function-dependent analysis offers a new research direction for fuzzy-model-based control systems by taking into account the characteristic and information of the membership functions in the stability analysis. The book presents on a research level the most recent and advanced research results, promotes the research of polynomial-fuzzy-model-based control systems, and provides theoretical support and point a research direction to postgraduate students and fellow researchers. Each chapter provides numerical examples to verify the analysis results, demonstrate the effectiveness of the proposed polynomial fuzzy control schemes, and explain the design procedure. The book is comprehensively written enclosing detailed derivation steps and mathematical derivations also for readers without extensive knowledge on the topics including students with control background who are interested in polynomial fuzzy model-based control systems.

Intelligent Control, Filtering and Model Reduction Analysis for Fuzzy-Model-Based Systems

Intelligent Control, Filtering and Model Reduction Analysis for Fuzzy-Model-Based Systems

Author: Xiaojie Su

Publisher: Springer Nature

Published: 2021-08-17

Total Pages: 322

ISBN-13: 3030812146

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This book aims to introduce the state-of-the-art research of stability/performance analysis and optimal synthesis methods for fuzzy-model-based systems. A series of problems are solved with new approaches of design, analysis and synthesis of fuzzy systems, including stabilization control and stability analysis, dynamic output feedback control, fault detection filter design, and reduced-order model approximation. Some efficient techniques, such as Lyapunov stability theory, linear matrix inequality, reciprocally convex approach, and cone complementary linearization method, are utilized in the approaches. This book is a comprehensive reference for researchers and practitioners working on intelligent control, model reduction, and fault detection of fuzzy systems, and is also a useful source of information for senior undergraduates and graduates in these areas. The readers will benefit from some new concepts and methodologies with theoretical and practical significance in system analysis and control synthesis.


Book Synopsis Intelligent Control, Filtering and Model Reduction Analysis for Fuzzy-Model-Based Systems by : Xiaojie Su

Download or read book Intelligent Control, Filtering and Model Reduction Analysis for Fuzzy-Model-Based Systems written by Xiaojie Su and published by Springer Nature. This book was released on 2021-08-17 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book aims to introduce the state-of-the-art research of stability/performance analysis and optimal synthesis methods for fuzzy-model-based systems. A series of problems are solved with new approaches of design, analysis and synthesis of fuzzy systems, including stabilization control and stability analysis, dynamic output feedback control, fault detection filter design, and reduced-order model approximation. Some efficient techniques, such as Lyapunov stability theory, linear matrix inequality, reciprocally convex approach, and cone complementary linearization method, are utilized in the approaches. This book is a comprehensive reference for researchers and practitioners working on intelligent control, model reduction, and fault detection of fuzzy systems, and is also a useful source of information for senior undergraduates and graduates in these areas. The readers will benefit from some new concepts and methodologies with theoretical and practical significance in system analysis and control synthesis.

Stability Analysis of Fuzzy-Model-Based Control Systems

Stability Analysis of Fuzzy-Model-Based Control Systems

Author: Hak-Keung Lam

Publisher: Springer

Published: 2011-01-28

Total Pages: 239

ISBN-13: 3642178448

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In this book, the state-of-the-art fuzzy-model-based (FMB) based control approaches are covered. A comprehensive review about the stability analysis of type-1 and type-2 FMB control systems using the Lyapunov-based approach is given, presenting a clear picture to researchers who would like to work on this field. A wide variety of continuous-time nonlinear control systems such as state-feedback, switching, time-delay and sampled-data FMB control systems, are covered. In short, this book summarizes the recent contributions of the authors on the stability analysis of the FMB control systems. It discusses advanced stability analysis techniques for various FMB control systems, and founds a concrete theoretical basis to support the investigation of FMB control systems at the research level. The analysis results of this book offer various mathematical approaches to designing stable and well-performed FMB control systems. Furthermore, the results widen the applicability of the FMB control approach and help put the fuzzy controller in practice. A wide range of advanced analytical and mathematical analysis techniques will be employed to investigate the system stability and performance of FMB-based control systems in a rigorous manner. Detailed analysis and derivation steps are given to enhance the readability, enabling the readers who are unfamiliar with the FMB control systems to follow the materials easily. Simulation examples, with figures and plots of system responses, are given to demonstrate the effectiveness of the proposed FMB control approaches.


Book Synopsis Stability Analysis of Fuzzy-Model-Based Control Systems by : Hak-Keung Lam

Download or read book Stability Analysis of Fuzzy-Model-Based Control Systems written by Hak-Keung Lam and published by Springer. This book was released on 2011-01-28 with total page 239 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book, the state-of-the-art fuzzy-model-based (FMB) based control approaches are covered. A comprehensive review about the stability analysis of type-1 and type-2 FMB control systems using the Lyapunov-based approach is given, presenting a clear picture to researchers who would like to work on this field. A wide variety of continuous-time nonlinear control systems such as state-feedback, switching, time-delay and sampled-data FMB control systems, are covered. In short, this book summarizes the recent contributions of the authors on the stability analysis of the FMB control systems. It discusses advanced stability analysis techniques for various FMB control systems, and founds a concrete theoretical basis to support the investigation of FMB control systems at the research level. The analysis results of this book offer various mathematical approaches to designing stable and well-performed FMB control systems. Furthermore, the results widen the applicability of the FMB control approach and help put the fuzzy controller in practice. A wide range of advanced analytical and mathematical analysis techniques will be employed to investigate the system stability and performance of FMB-based control systems in a rigorous manner. Detailed analysis and derivation steps are given to enhance the readability, enabling the readers who are unfamiliar with the FMB control systems to follow the materials easily. Simulation examples, with figures and plots of system responses, are given to demonstrate the effectiveness of the proposed FMB control approaches.

Interval Type-2 Control Design for Fuzzy-model-based Systems

Interval Type-2 Control Design for Fuzzy-model-based Systems

Author: Yuandi Li

Publisher:

Published: 2019

Total Pages: 0

ISBN-13:

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The case has been extended from T-S FMB systems to PFMB systems compared to the first part. Because of the polynomial terms, the linear matrix inequality (LMI) approach used in the first part could not be conducted. The stability analysis is then investigated based on sum-of-squares (SOS) approach, which can be solved numerically by thirdparty toolbox. Examples are presented to show the effectiveness of the proposed approach in the thesis.


Book Synopsis Interval Type-2 Control Design for Fuzzy-model-based Systems by : Yuandi Li

Download or read book Interval Type-2 Control Design for Fuzzy-model-based Systems written by Yuandi Li and published by . This book was released on 2019 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The case has been extended from T-S FMB systems to PFMB systems compared to the first part. Because of the polynomial terms, the linear matrix inequality (LMI) approach used in the first part could not be conducted. The stability analysis is then investigated based on sum-of-squares (SOS) approach, which can be solved numerically by thirdparty toolbox. Examples are presented to show the effectiveness of the proposed approach in the thesis.

Type-2 Fuzzy Logic

Type-2 Fuzzy Logic

Author: Rómulo Antão

Publisher: Springer

Published: 2017-07-23

Total Pages: 136

ISBN-13: 9811046336

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This book focuses on a particular domain of Type-2 Fuzzy Logic, related to process modeling and control applications. It deepens readers’understanding of Type-2 Fuzzy Logic with regard to the following three topics: using simpler methods to train a Type-2 Takagi-Sugeno Fuzzy Model; using the principles of Type-2 Fuzzy Logic to reduce the influence of modeling uncertainties on a locally linear n-step ahead predictor; and developing model-based control algorithms according to the Generalized Predictive Control principles using Type-2 Fuzzy Sets. Throughout the book, theory is always complemented with practical applications and readers are invited to take their learning process one step farther and implement their own applications using the algorithms’ source codes (provided). As such, the book offers avaluable referenceguide for allengineers and researchers in the field ofcomputer science who are interested in intelligent systems, rule-based systems and modeling uncertainty.


Book Synopsis Type-2 Fuzzy Logic by : Rómulo Antão

Download or read book Type-2 Fuzzy Logic written by Rómulo Antão and published by Springer. This book was released on 2017-07-23 with total page 136 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on a particular domain of Type-2 Fuzzy Logic, related to process modeling and control applications. It deepens readers’understanding of Type-2 Fuzzy Logic with regard to the following three topics: using simpler methods to train a Type-2 Takagi-Sugeno Fuzzy Model; using the principles of Type-2 Fuzzy Logic to reduce the influence of modeling uncertainties on a locally linear n-step ahead predictor; and developing model-based control algorithms according to the Generalized Predictive Control principles using Type-2 Fuzzy Sets. Throughout the book, theory is always complemented with practical applications and readers are invited to take their learning process one step farther and implement their own applications using the algorithms’ source codes (provided). As such, the book offers avaluable referenceguide for allengineers and researchers in the field ofcomputer science who are interested in intelligent systems, rule-based systems and modeling uncertainty.

Fuzzy Control Systems with Time-Delay and Stochastic Perturbation

Fuzzy Control Systems with Time-Delay and Stochastic Perturbation

Author: Ligang Wu

Publisher: Springer

Published: 2014-10-17

Total Pages: 357

ISBN-13: 331911316X

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This book presents up-to-date research developments and novel methodologies on fuzzy control systems. It presents solutions to a series of problems with new approaches for the analysis and synthesis of fuzzy time-delay systems and fuzzy stochastic systems, including stability analysis and stabilization, dynamic output feedback control, robust filter design, and model approximation. A set of newly developed techniques such as fuzzy Lyapunov function approach, delay-partitioning, reciprocally convex, cone complementary linearization approach are presented. Fuzzy Control Systems with Time-Delay and Stochastic Perturbation: Analysis and Synthesis is a comprehensive reference for researcher and practitioners working in control engineering, system sciences and applied mathematics, and is also a useful source of information for senior undergraduates and graduates in these areas. The readers will benefit from some new concepts, new models and new methodologies with practical significance in control engineering and signal processing.


Book Synopsis Fuzzy Control Systems with Time-Delay and Stochastic Perturbation by : Ligang Wu

Download or read book Fuzzy Control Systems with Time-Delay and Stochastic Perturbation written by Ligang Wu and published by Springer. This book was released on 2014-10-17 with total page 357 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents up-to-date research developments and novel methodologies on fuzzy control systems. It presents solutions to a series of problems with new approaches for the analysis and synthesis of fuzzy time-delay systems and fuzzy stochastic systems, including stability analysis and stabilization, dynamic output feedback control, robust filter design, and model approximation. A set of newly developed techniques such as fuzzy Lyapunov function approach, delay-partitioning, reciprocally convex, cone complementary linearization approach are presented. Fuzzy Control Systems with Time-Delay and Stochastic Perturbation: Analysis and Synthesis is a comprehensive reference for researcher and practitioners working in control engineering, system sciences and applied mathematics, and is also a useful source of information for senior undergraduates and graduates in these areas. The readers will benefit from some new concepts, new models and new methodologies with practical significance in control engineering and signal processing.

Advances in Applied Nonlinear Dynamics, Vibration and Control -2021

Advances in Applied Nonlinear Dynamics, Vibration and Control -2021

Author: Xingjian Jing

Publisher: Springer Nature

Published: 2021-09-23

Total Pages: 1210

ISBN-13: 9811659125

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This book is to provide readers with up-to-date advances in applied and interdisciplinary engineering science and technologies related to nonlinear dynamics, vibration, control, robotics, and their engineering applications, developed in the most recent years. All the contributed chapters come from active scholars in the area, which cover advanced theory & methods, innovative technologies, benchmark experimental validations and engineering practices. Readers would benefit from this state-of-the-art collection of applied nonlinear dynamics, in-depth vibration engineering theory, cutting-edge control methods and technologies, and definitely find stimulating ideas for their on-going R&D work. This book is intended for graduate students, research staff and scholars in academics, and also provides useful hand-up guidance for professional and engineers in practical engineering missions.


Book Synopsis Advances in Applied Nonlinear Dynamics, Vibration and Control -2021 by : Xingjian Jing

Download or read book Advances in Applied Nonlinear Dynamics, Vibration and Control -2021 written by Xingjian Jing and published by Springer Nature. This book was released on 2021-09-23 with total page 1210 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is to provide readers with up-to-date advances in applied and interdisciplinary engineering science and technologies related to nonlinear dynamics, vibration, control, robotics, and their engineering applications, developed in the most recent years. All the contributed chapters come from active scholars in the area, which cover advanced theory & methods, innovative technologies, benchmark experimental validations and engineering practices. Readers would benefit from this state-of-the-art collection of applied nonlinear dynamics, in-depth vibration engineering theory, cutting-edge control methods and technologies, and definitely find stimulating ideas for their on-going R&D work. This book is intended for graduate students, research staff and scholars in academics, and also provides useful hand-up guidance for professional and engineers in practical engineering missions.

Sliding Mode Control Methodology in the Applications of Industrial Power Systems

Sliding Mode Control Methodology in the Applications of Industrial Power Systems

Author: Jianxing Liu

Publisher: Springer Nature

Published: 2019-10-23

Total Pages: 205

ISBN-13: 3030306550

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This book presents recent advanced techniques in sliding mode control and observer design for industrial power systems, focusing on their applications in polymer electrolyte membrane fuel cells and power converters. Readers will find not only valuable new fault detection and isolation techniques based on sliding mode control and observers, but also a number of robust control and estimation methodologies combined with fuzzy neural networks and extended state observer methods. The book also provides necessary experimental and simulation examples for proton exchange membrane fuel cell systems and power converter systems. Given its scope, it offers a valuable resource for undergraduate and graduate students, academics, scientists and engineers who are working in the field.


Book Synopsis Sliding Mode Control Methodology in the Applications of Industrial Power Systems by : Jianxing Liu

Download or read book Sliding Mode Control Methodology in the Applications of Industrial Power Systems written by Jianxing Liu and published by Springer Nature. This book was released on 2019-10-23 with total page 205 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents recent advanced techniques in sliding mode control and observer design for industrial power systems, focusing on their applications in polymer electrolyte membrane fuel cells and power converters. Readers will find not only valuable new fault detection and isolation techniques based on sliding mode control and observers, but also a number of robust control and estimation methodologies combined with fuzzy neural networks and extended state observer methods. The book also provides necessary experimental and simulation examples for proton exchange membrane fuel cell systems and power converter systems. Given its scope, it offers a valuable resource for undergraduate and graduate students, academics, scientists and engineers who are working in the field.