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.

Stability Analysis of Fuzzy-Model-Based Control Systems
Stability Analysis of Fuzzy-Model-Based Control Systems

Author: Hak-Keung Lam

Publisher: Springer Science & Business Media

Published: 2011-01-27

Total Pages: 239

ISBN-13: 364217843X

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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.

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.

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.

Proceedings of 2021 5th Chinese Conference on Swarm Intelligence and Cooperative Control
Proceedings of 2021 5th Chinese Conference on Swarm Intelligence and Cooperative Control

Author: Zhang Ren

Publisher: Springer Nature

Published: 2022-07-29

Total Pages: 1902

ISBN-13: 9811939985

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This book includes original, peer-reviewed research papers from the 2021 5th Chinese Conference on Swarm Intelligence and Cooperative Control (CCSICC2021), held in Shenzhen, China on January 19-22, 2022. The topics covered include but are not limited to: reviews and discussions of swarm intelligence, basic theories on swarm intelligence, swarm communication and networking, swarm perception, awareness and location, swarm decision and planning, cooperative control, cooperative guidance, swarm simulation and assessment. The papers showcased here share the latest findings on theories, algorithms and applications in swarm intelligence and cooperative control, making the book a valuable asset for researchers, engineers, and university students alike.

Non-monotonic Approach to Robust H? Control of Multi-model Systems
Non-monotonic Approach to Robust H? Control of Multi-model Systems

Author: Jiwei Wen

Publisher: Academic Press

Published: 2019-06-07

Total Pages: 222

ISBN-13: 0128148683

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Non-monotonic Approach to Robust H8 Control of Multi-model Systems focuses on robust analysis and synthesis problems for multi-model systems based on the non-monotonic Lyapunov Functionals (LFs) approach that enlarges the stability region and improves control performance. By fully considering the diversity of switching laws, the multi-step time difference, the multi-step prediction, and the expansion of system dimension, the non-monotonic LF can be properly constructed. The focus of this book is placed on the H8 state feedback control, H8 filtering and H8 output feedback control for multi-model systems via a non-monotonic LF approach. The book's authors provide illustrative examples to show the feasibility and efficiency of the proposed methods, along with practical examples that demonstrate the effectiveness and potential of theoretical results.

Handbook On Computer Learning And Intelligence (In 2 Volumes)
Handbook On Computer Learning And Intelligence (In 2 Volumes)

Author: Plamen Parvanov Angelov

Publisher: World Scientific

Published: 2022-06-29

Total Pages: 1057

ISBN-13: 9811247331

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The Handbook on Computer Learning and Intelligence is a second edition which aims to be a one-stop-shop for the various aspects of the broad research area of computer learning and intelligence. This field of research evolved so much in the last five years that it necessitates this new edition of the earlier Handbook on Computational Intelligence.This two-volume handbook is divided into five parts. Volume 1 covers Explainable AI and Supervised Learning. Volume 2 covers three parts: Deep Learning, Intelligent Control, and Evolutionary Computation. The chapters detail the theory, methodology and applications of computer learning and intelligence, and are authored by some of the leading experts in the respective areas. The fifteen core chapters of the previous edition have been written and significantly refreshed by the same authors. Parts of the handbook have evolved to keep pace with the latest developments in computational intelligence in the areas that span across Machine Learning and Artificial Intelligence. The Handbook remains dedicated to applications and engineering-orientated aspects of these areas over abstract theories.Related Link(s)

Mathematics—Advances in Research and Application: 2012 Edition
Mathematics—Advances in Research and Application: 2012 Edition

Author:

Publisher: ScholarlyEditions

Published: 2012-12-26

Total Pages: 1637

ISBN-13: 1464990719

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Mathematics—Advances in Research and Application: 2012 Edition is a ScholarlyEditions™ eBook that delivers timely, authoritative, and comprehensive information about Mathematics. The editors have built Mathematics—Advances in Research and Application: 2012 Edition on the vast information databases of ScholarlyNews.™ You can expect the information about Mathematics in this eBook to be deeper than what you can access anywhere else, as well as consistently reliable, authoritative, informed, and relevant. The content of Mathematics—Advances in Research and Application: 2012 Edition has been produced by the world’s leading scientists, engineers, analysts, research institutions, and companies. All of the content is from peer-reviewed sources, and all of it is written, assembled, and edited by the editors at ScholarlyEditions™ and available exclusively from us. You now have a source you can cite with authority, confidence, and credibility. More information is available at http://www.ScholarlyEditions.com/.

Analysis and Synthesis of Polynomial Discrete-Time Systems
Analysis and Synthesis of Polynomial Discrete-Time Systems

Author: Mohd Shakir Md Saat

Publisher: Butterworth-Heinemann

Published: 2017-07-10

Total Pages: 202

ISBN-13: 0081019025

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Analysis and Synthesis of Polynomial Discrete-time Systems: An SOS Approach addresses the analysis and design of polynomial discrete-time control systems. The book deals with the application of Sum of Squares techniques in solving specific control and filtering problems that can be useful to solve advanced control problems, both on the theoretical side and on the practical side. Two types of controllers, state feedback controller and output feedback controller, along with topics surrounding the nonlinear filter and the H-infinity performance criteria are explored. The book also proposes a solution to global stabilization of discrete-time systems. - Presents recent developments of the Sum of Squares approach in control of Polynomial Discrete-time Systems - Includes numerical and practical examples to illustrate how design methodologies can be applied - Provides a methodology for robust output controller design with an H-infinity performance index for polynomial discrete-time systems - Offers tools for the analysis and design of control processes where the process can be represented in polynomial form - Uses the Sum of Squares method for solving controller and filter design problems - Provides MATLAB® code and simulation files of all illustrated example

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.