Intelligent Control Filtering And Model Reduction Analysis For Fuzzy Model Based Systems

Download Intelligent Control Filtering And Model Reduction Analysis For Fuzzy Model Based Systems full books in PDF, epub, and Kindle. Read online Intelligent Control Filtering And Model Reduction Analysis For Fuzzy Model Based Systems ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

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

Author : Xiaojie Su
Publisher : Springer Nature
ISBN 13 : 3030812146
Total Pages : 322 pages
Book Rating : 4.0/5 (38 download)

DOWNLOAD NOW!

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.

Analysis and Synthesis of Fuzzy Control Systems

Author : Gang Feng
Publisher : CRC Press
ISBN 13 : 1420092650
Total Pages : 299 pages
Book Rating : 4.4/5 (2 download)

DOWNLOAD NOW!

Book Synopsis Analysis and Synthesis of Fuzzy Control Systems by : Gang Feng

Download or read book Analysis and Synthesis of Fuzzy Control Systems written by Gang Feng and published by CRC Press. This book was released on 2018-09-03 with total page 299 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fuzzy logic control (FLC) has proven to be a popular control methodology for many complex systems in industry, and is often used with great success as an alternative to conventional control techniques. However, because it is fundamentally model free, conventional FLC suffers from a lack of tools for systematic stability analysis and controller design. To address this problem, many model-based fuzzy control approaches have been developed, with the fuzzy dynamic model or the Takagi and Sugeno (T–S) fuzzy model-based approaches receiving the greatest attention. Analysis and Synthesis of Fuzzy Control Systems: A Model-Based Approach offers a unique reference devoted to the systematic analysis and synthesis of model-based fuzzy control systems. After giving a brief review of the varieties of FLC, including the T–S fuzzy model-based control, it fully explains the fundamental concepts of fuzzy sets, fuzzy logic, and fuzzy systems. This enables the book to be self-contained and provides a basis for later chapters, which cover: T–S fuzzy modeling and identification via nonlinear models or data Stability analysis of T–S fuzzy systems Stabilization controller synthesis as well as robust H∞ and observer and output feedback controller synthesis Robust controller synthesis of uncertain T–S fuzzy systems Time-delay T–S fuzzy systems Fuzzy model predictive control Robust fuzzy filtering Adaptive control of T–S fuzzy systems A reference for scientists and engineers in systems and control, the book also serves the needs of graduate students exploring fuzzy logic control. It readily demonstrates that conventional control technology and fuzzy logic control can be elegantly combined and further developed so that disadvantages of conventional FLC can be avoided and the horizon of conventional control technology greatly extended. Many chapters feature application simulation examples and practical numerical examples based on MATLAB®.

Control and Filtering of Fuzzy Systems with Switched Parameters

Author : Shanling Dong
Publisher : Springer Nature
ISBN 13 : 3030355667
Total Pages : 220 pages
Book Rating : 4.0/5 (33 download)

DOWNLOAD NOW!

Book Synopsis Control and Filtering of Fuzzy Systems with Switched Parameters by : Shanling Dong

Download or read book Control and Filtering of Fuzzy Systems with Switched Parameters written by Shanling Dong and published by Springer Nature. This book was released on 2019-11-25 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents recent advances in control and filter design for Takagi-Sugeno (T-S) fuzzy systems with switched parameters. Thanks to its powerful ability in transforming complicated nonlinear systems into a set of linear subsystems, the T-S fuzzy model has received considerable attention from those the field of control science and engineering. Typical applications of T-S fuzzy systems include communication networks, and mechanical and power electronics systems. Practical systems often experience abrupt variations in their parameters or structures due to outside disturbances or component failures, and random switching mechanisms have been used to model these stochastic changes, such as the Markov jump principle. There are three general types of controller/filter for fuzzy Markov jump systems: mode-independent, mode-dependent and asynchronous. Mode-independence does not focus on whether modes are accessible and ignores partially useful mode information, which results in some conservatism. The mode-dependent design approach relies on timely, complete and correct information regarding the mode of the studied plant. Factors like component failures and data dropouts often make it difficult to obtain exact mode messages, which further make the mode-dependent controllers/filters less useful. Recently, to overcome these issues, researchers have focused on asynchronous techniques. Asynchronous modes are accessed by observing the original systems based on certain probabilities. The book investigates the problems associated with controller/filter design for all three types. It also considers various networked constraints, such as data dropouts and time delays, and analyzes the performances of the systems based on Lyapunov function and matrix inequality techniques, including the stochastic stability, dissipativity, and $H_\infty$. The book not only shows how these approaches solve the control and filtering problems effectively, but also offers potential meaningful research directions and ideas. Covering a variety of fields, including continuous-time and discrete-time Markov processes, fuzzy systems, robust control, and filter design problems, the book is primarily intended for researchers in system and control theory, and is also a valuable reference resource for graduate and undergraduate students. Further, it provides cases of fuzzy control problems that are of interest to scientists, engineers and researchers in the field of intelligent control. Lastly it is useful for advanced courses focusing on fuzzy modeling, analysis, and control.

Fuzzy Control Systems Design and Analysis

Author : Kazuo Tanaka
Publisher : John Wiley & Sons
ISBN 13 : 0471465224
Total Pages : 321 pages
Book Rating : 4.4/5 (714 download)

DOWNLOAD NOW!

Book Synopsis Fuzzy Control Systems Design and Analysis by : Kazuo Tanaka

Download or read book Fuzzy Control Systems Design and Analysis written by Kazuo Tanaka and published by John Wiley & Sons. This book was released on 2004-04-07 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive treatment of model-based fuzzy control systems This volume offers full coverage of the systematic framework for the stability and design of nonlinear fuzzy control systems. Building on the Takagi-Sugeno fuzzy model, authors Tanaka and Wang address a number of important issues in fuzzy control systems, including stability analysis, systematic design procedures, incorporation of performance specifications, numerical implementations, and practical applications. Issues that have not been fully treated in existing texts, such as stability analysis, systematic design, and performance analysis, are crucial to the validity and applicability of fuzzy control methodology. Fuzzy Control Systems Design and Analysis addresses these issues in the framework of parallel distributed compensation, a controller structure devised in accordance with the fuzzy model. This balanced treatment features an overview of fuzzy control, modeling, and stability analysis, as well as a section on the use of linear matrix inequalities (LMI) as an approach to fuzzy design and control. It also covers advanced topics in model-based fuzzy control systems, including modeling and control of chaotic systems. Later sections offer practical examples in the form of detailed theoretical and experimental studies of fuzzy control in robotic systems and a discussion of future directions in the field. Fuzzy Control Systems Design and Analysis offers an advanced treatment of fuzzy control that makes a useful reference for researchers and a reliable text for advanced graduate students in the field.

Fuzzy Modeling for Control

Author : Robert Babuška
Publisher : Springer Science & Business Media
ISBN 13 : 9401148686
Total Pages : 269 pages
Book Rating : 4.4/5 (11 download)

DOWNLOAD NOW!

Book Synopsis Fuzzy Modeling for Control by : Robert Babuška

Download or read book Fuzzy Modeling for Control written by Robert Babuška and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 269 pages. Available in PDF, EPUB and Kindle. Book excerpt: Rule-based fuzzy modeling has been recognised as a powerful technique for the modeling of partly-known nonlinear systems. Fuzzy models can effectively integrate information from different sources, such as physical laws, empirical models, measurements and heuristics. Application areas of fuzzy models include prediction, decision support, system analysis, control design, etc. Fuzzy Modeling for Control addresses fuzzy modeling from the systems and control engineering points of view. It focuses on the selection of appropriate model structures, on the acquisition of dynamic fuzzy models from process measurements (fuzzy identification), and on the design of nonlinear controllers based on fuzzy models. To automatically generate fuzzy models from measurements, a comprehensive methodology is developed which employs fuzzy clustering techniques to partition the available data into subsets characterized by locally linear behaviour. The relationships between the presented identification method and linear regression are exploited, allowing for the combination of fuzzy logic techniques with standard system identification tools. Attention is paid to the trade-off between the accuracy and transparency of the obtained fuzzy models. Control design based on a fuzzy model of a nonlinear dynamic process is addressed, using the concepts of model-based predictive control and internal model control with an inverted fuzzy model. To this end, methods to exactly invert specific types of fuzzy models are presented. In the context of predictive control, branch-and-bound optimization is applied. The main features of the presented techniques are illustrated by means of simple examples. In addition, three real-world applications are described. Finally, software tools for building fuzzy models from measurements are available from the author.

Fuzzy Modeling and Fuzzy Control

Author : Huaguang Zhang
Publisher : Springer Science & Business Media
ISBN 13 : 081764539X
Total Pages : 423 pages
Book Rating : 4.8/5 (176 download)

DOWNLOAD NOW!

Book Synopsis Fuzzy Modeling and Fuzzy Control by : Huaguang Zhang

Download or read book Fuzzy Modeling and Fuzzy Control written by Huaguang Zhang and published by Springer Science & Business Media. This book was released on 2007-10-17 with total page 423 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fuzzy logic methodology has proven effective in dealing with complex nonlinear systems containing uncertainties that are otherwise difficult to model. Technology based on this methodology is applicable to many real-world problems, especially in the area of consumer products. This book presents the first comprehensive, unified treatment of fuzzy modeling and fuzzy control, providing tools for the control of complex nonlinear systems. Coverage includes model complexity, model precision, and computing time. This is an excellent reference for electrical, computer, chemical, industrial, civil, manufacturing, mechanical and aeronautical engineers, and also useful for graduate courses in electrical engineering, computer engineering, and computer science.

Fuzzy Logic Control

Author : H. B. Verbruggen
Publisher : World Scientific
ISBN 13 : 9789810238254
Total Pages : 344 pages
Book Rating : 4.2/5 (382 download)

DOWNLOAD NOW!

Book Synopsis Fuzzy Logic Control by : H. B. Verbruggen

Download or read book Fuzzy Logic Control written by H. B. Verbruggen and published by World Scientific. This book was released on 1999 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fuzzy logic control has become an important methodology in control engineering. This volume deals with applications of fuzzy logic control in various domains. The contributions are divided into three parts. The first part consists of two state-of-the-art tutorials on fuzzy control and fuzzy modeling. Surveys of advanced methodologies are included in the second part. These surveys address fuzzy decision making and control, fault detection, isolation and diagnosis, complexity reduction in fuzzy systems and neuro-fuzzy methods. The third part contains application-oriented contributions from various fields, such as process industry, cement and ceramics, vehicle control and traffic management, electromechanical and production systems, avionics, biotechnology and medical applications. The book is intended for researchers both from the academic world and from industry.

Type-2 Fuzzy Logic

Author : Rómulo Antão
Publisher : Springer
ISBN 13 : 9811046336
Total Pages : 136 pages
Book Rating : 4.8/5 (11 download)

DOWNLOAD NOW!

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 Systems

Author : Hung T. Nguyen
Publisher : Springer Science & Business Media
ISBN 13 : 1461555051
Total Pages : 532 pages
Book Rating : 4.4/5 (615 download)

DOWNLOAD NOW!

Book Synopsis Fuzzy Systems by : Hung T. Nguyen

Download or read book Fuzzy Systems written by Hung T. Nguyen and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 532 pages. Available in PDF, EPUB and Kindle. Book excerpt: The analysis and control of complex systems have been the main motivation for the emergence of fuzzy set theory since its inception. It is also a major research field where many applications, especially industrial ones, have made fuzzy logic famous. This unique handbook is devoted to an extensive, organized, and up-to-date presentation of fuzzy systems engineering methods. The book includes detailed material and extensive bibliographies, written by leading experts in the field, on topics such as: Use of fuzzy logic in various control systems. Fuzzy rule-based modeling and its universal approximation properties. Learning and tuning techniques for fuzzy models, using neural networks and genetic algorithms. Fuzzy control methods, including issues such as stability analysis and design techniques, as well as the relationship with traditional linear control. Fuzzy sets relation to the study of chaotic systems, and the fuzzy extension of set-valued approaches to systems modeling through the use of differential inclusions. Fuzzy Systems: Modeling and Control is part of The Handbooks of Fuzzy Sets Series. The series provides a complete picture of contemporary fuzzy set theory and its applications. This volume is a key reference for systems engineers and scientists seeking a guide to the vast amount of literature in fuzzy logic modeling and control.

Fuzzy Modeling and Control: Theory and Applications

Author : Fernando Matía
Publisher : Springer
ISBN 13 : 9462390827
Total Pages : 291 pages
Book Rating : 4.4/5 (623 download)

DOWNLOAD NOW!

Book Synopsis Fuzzy Modeling and Control: Theory and Applications by : Fernando Matía

Download or read book Fuzzy Modeling and Control: Theory and Applications written by Fernando Matía and published by Springer. This book was released on 2014-08-14 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt: Much work on fuzzy control, covering research, development and applications, has been developed in Europe since the 90's. Nevertheless, the existing books in the field are compilations of articles without interconnection or logical structure or they express the personal point of view of the author. This book compiles the developments of researchers with demonstrated experience in the field of fuzzy control following a logic structure and a unified the style. The first chapters of the book are dedicated to the introduction of the main fuzzy logic techniques, where the following chapters focus on concrete applications. This book is supported by the EUSFLAT and CEA-IFAC societies, which include a large number of researchers in the field of fuzzy logic and control. The central topic of the book, Fuzzy Control, is one of the main research and development lines covered by these associations.

Fuzzy Control and Filter Design for Uncertain Fuzzy Systems

Author : Wudhichai Assawinchaichote
Publisher : Springer
ISBN 13 : 3540370129
Total Pages : 180 pages
Book Rating : 4.5/5 (43 download)

DOWNLOAD NOW!

Book Synopsis Fuzzy Control and Filter Design for Uncertain Fuzzy Systems by : Wudhichai Assawinchaichote

Download or read book Fuzzy Control and Filter Design for Uncertain Fuzzy Systems written by Wudhichai Assawinchaichote and published by Springer. This book was released on 2007-07-14 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: Most real physical systems are nonlinear in nature. Control and?ltering of nonlinear systems are still open problems due to their complexity natures. These problem becomes more complex when the system's parameters are - certain. A common approach to designing a controller/?lter for an uncertain nonlinear system is to linearize the system about an operating point, and uses linear control theory to design a controller/?lter. This approach is successful when the operating point of the system is restricted to a certain region. H- ever, when a wide range operation of the system is required, this method may fail. ThisbookpresentsnewnovelmethodologiesfordesigningrobustH fuzzy? controllers and robustH fuzzy?lters for a class of uncertain fuzzy systems? (UFSs), uncertain fuzzy Markovian jump systems (UFMJSs), uncertain fuzzy singularly perturbed systems (UFSPSs) and uncertain fuzzy singularly p- turbed systems with Markovian jumps (UFSPS-MJs). These new meth- ologies provide a framework for designing robustH fuzzy controllers and? robustH fuzzy?lters for these classes of systems based on a Tagaki-Sugeno? (TS) fuzzy model. Solutions to the design problems are presented in terms of linear matrix inequalities (LMIs). To investigate the design problems, we?rst describe a class of uncertain nonlinear systems (UNSs), uncertain nonlinear Markovianjumpsystems(UNMJSs), uncertainnonlinearsingularlyperturbed systems(UNSPSs)anduncertainnonlinearsingularlyperturbedsystemswith Markovian jumps (UNSPS-MJs) by a TS fuzzy system with parametric - certainties and with/without Markovian jumps. Then, based on an LMI - proach, we develop a technique for designing robustH fuzzy controllers and? robustH fuzzy?lters such that a given prescribed performance index is? guaranteed.

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

Author : Hongyi Li
Publisher : Springer
ISBN 13 : 9811005931
Total Pages : 263 pages
Book Rating : 4.8/5 (11 download)

DOWNLOAD NOW!

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.

Type-3 Fuzzy Logic in Intelligent Control

Author : Oscar Castillo
Publisher : Springer Nature
ISBN 13 : 303146088X
Total Pages : 89 pages
Book Rating : 4.0/5 (314 download)

DOWNLOAD NOW!

Book Synopsis Type-3 Fuzzy Logic in Intelligent Control by : Oscar Castillo

Download or read book Type-3 Fuzzy Logic in Intelligent Control written by Oscar Castillo and published by Springer Nature. This book was released on 2023-12-17 with total page 89 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on the field of type-3 fuzzy logic, also considering metaheuristics for applications in the control area. The main idea is that these areas together can solve various control problems and find better results. In this book, we test the proposed method using several benchmark problems, such as the problem for filling a water tank and the problem for controlling the trajectory in an autonomous mobile robot. We notice that when interval type-3 fuzzy systems are implemented to model the behavior of the systems, the results in control show a better stabilization, because the management of uncertainty is better. For this reason, we consider in this book the proposed method using type-3 fuzzy systems, fuzzy controllers, and metaheuristic algorithms to improve the control behavior of complex nonlinear plants. This book is intended to be a reference for scientists and engineers interested in applying type-3 fuzzy logic techniques for solving problems in intelligent control. We consider that this book can also be used to get novel ideas for new lines of research, or to continue the lines of research proposed by the authors of the book

Fuzzy Algorithms for Control

Author : H. B. Verbruggen
Publisher : Springer Science & Business Media
ISBN 13 : 9401144052
Total Pages : 353 pages
Book Rating : 4.4/5 (11 download)

DOWNLOAD NOW!

Book Synopsis Fuzzy Algorithms for Control by : H. B. Verbruggen

Download or read book Fuzzy Algorithms for Control written by H. B. Verbruggen and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 353 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fuzzy Algorithms for Control gives an overview of the research results of a number of European research groups that are active and play a leading role in the field of fuzzy modeling and control. It contains 12 chapters divided into three parts. Chapters in the first part address the position of fuzzy systems in control engineering and in the AI community. State-of-the-art surveys on fuzzy modeling and control are presented along with a critical assessment of the role of these methodologists in control engineering. The second part is concerned with several analysis and design issues in fuzzy control systems. The analytical issues addressed include the algebraic representation of fuzzy models of different types, their approximation properties, and stability analysis of fuzzy control systems. Several design aspects are addressed, including performance specification for control systems in a fuzzy decision-making framework and complexity reduction in multivariable fuzzy systems. In the third part of the book, a number of applications of fuzzy control are presented. It is shown that fuzzy control in combination with other techniques such as fuzzy data analysis is an effective approach to the control of modern processes which present many challenges for the design of control systems. One has to cope with problems such as process nonlinearity, time-varying characteristics for incomplete process knowledge. Examples of real-world industrial applications presented in this book are a blast furnace, a lime kiln and a solar plant. Other examples of challenging problems in which fuzzy logic plays an important role and which are included in this book are mobile robotics and aircraft control. The aim of this book is to address both theoretical and practical subjects in a balanced way. It will therefore be useful for readers from the academic world and also from industry who want to apply fuzzy control in practice.

Control and Filtering of Fuzzy Systems Under Communication Channels

Author : Xiao-Heng Chang
Publisher : Springer Nature
ISBN 13 : 9819943469
Total Pages : 257 pages
Book Rating : 4.8/5 (199 download)

DOWNLOAD NOW!

Book Synopsis Control and Filtering of Fuzzy Systems Under Communication Channels by : Xiao-Heng Chang

Download or read book Control and Filtering of Fuzzy Systems Under Communication Channels written by Xiao-Heng Chang and published by Springer Nature. This book was released on 2023-12-02 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book systematically studies the feedback control and filtering problems for nonlinear plants with limited communication channels based on T-S fuzzy models. By fully considering different network-induced phenomena, such as signal quantizations, time-delays, data packet dropouts, communication protocols, cyber attacks, and so on, some significant strategies are provided for various performance analysis and different controller/filter synthesis of fuzzy systems. The event-triggered mechanism is also mentioned to save the communication resource. Moreover, some results are extended to the fault detection and fault-tolerant control. The book provides some new methodologies in analysis and synthesis of fuzzy systems under communication channels, and can serve as a valuable reference material for researchers wishing to explore the area of control and filtering of fuzzy systems and networked systems.

Fuzzy Model Identification for Control

Author : Janos Abonyi
Publisher : Springer Science & Business Media
ISBN 13 : 146120027X
Total Pages : 279 pages
Book Rating : 4.4/5 (612 download)

DOWNLOAD NOW!

Book Synopsis Fuzzy Model Identification for Control by : Janos Abonyi

Download or read book Fuzzy Model Identification for Control written by Janos Abonyi and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 279 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents new approaches to constructing fuzzy models for model-based control. Simulated examples and real-world applications from chemical and process engineering illustrate the main methods and techniques. Supporting MATLAB and Simulink files create a computational platform for exploration of the concepts and algorithms.

LMI Approach to Analysis and Control of Takagi-Sugeno Fuzzy Systems with Time Delay

Author : Chong Lin
Publisher : Springer Science & Business Media
ISBN 13 : 3540495525
Total Pages : 207 pages
Book Rating : 4.5/5 (44 download)

DOWNLOAD NOW!

Book Synopsis LMI Approach to Analysis and Control of Takagi-Sugeno Fuzzy Systems with Time Delay by : Chong Lin

Download or read book LMI Approach to Analysis and Control of Takagi-Sugeno Fuzzy Systems with Time Delay written by Chong Lin and published by Springer Science & Business Media. This book was released on 2007-02-08 with total page 207 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides the latest developments in the analysis and control of nonlinear time-delay systems using T-S fuzzy model approach. It presents a comprehensive, up-to-date, and detailed treatment of many interesting topics, such as stability analysis, stabilization, fuzzy variable structure control, fuzzy tracking control, fuzzy observer design, and filter design for T-S fuzzy systems with time delay.