New Approaches To Fuzzy Modeling And Control: Design And Analysis

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Publisher : World Scientific
ISBN 13 : 9814492906
Total Pages : 201 pages
Book Rating : 4.8/5 (144 download)

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Book Synopsis New Approaches To Fuzzy Modeling And Control: Design And Analysis by : Gideon Langholz

Download or read book New Approaches To Fuzzy Modeling And Control: Design And Analysis written by Gideon Langholz and published by World Scientific. This book was released on 2000-07-04 with total page 201 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fuzzy logic has found applications in an incredibly wide range of areas in the relatively short time since its conception. It was invented by Lotfi Zadeh, a leading systems expert, so it is perhaps not surprising that system theory is one of the areas in which fuzzy logic has made a profound impact. Fuzzy logic combined with the paradigm of computing with words allows the use and manipulation of human knowledge and reasoning in the modeling and control of dynamical systems.This monograph presents new approaches to the construction of fuzzy models and to the design of fuzzy controllers. The emphasis is on developing methods that allow systematic design on the one hand and mathematical analysis of the resulting system on the other. In particular, the methods described allow rigorous analysis of the stability and robustness of the systems, which are crucial issues in control theory.The first theme of the book is a new approach to the systematic design and analysis of fuzzy controllers, given linguistic information concerning the plant and the control objective. The new approach, fuzzy Lyapunov synthesis, is a computing with words version of the well-known (classical) Lyapunov synthesis method.The second theme of the book is to show that fuzzy controllers are in fact solutions of a nonlinear optimal control problem. The authors formulate a novel nonlinear optimal control problem, consisting of a new state-space model — referred to as the hyperbolic state-space model — and a new cost functional, and show that its solution is a fuzzy controller. This leads to a new framework for fuzzy modeling and control that combines the advantages of the fuzzy world, such as linguistic interpretability, and of classical optimal control theory, such as guaranteed stability and robustness.

Fuzzy Control Systems Design and Analysis

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

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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.

Analytical Methods in Fuzzy Modeling and Control

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Publisher : Springer Science & Business Media
ISBN 13 : 354089926X
Total Pages : 272 pages
Book Rating : 4.5/5 (48 download)

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Book Synopsis Analytical Methods in Fuzzy Modeling and Control by : Jacek Kluska

Download or read book Analytical Methods in Fuzzy Modeling and Control written by Jacek Kluska and published by Springer Science & Business Media. This book was released on 2009-03-10 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is focused on mathematical analysis and rigorous design methods for fuzzy control systems based on Takagi-Sugeno fuzzy models, sometimes called Takagi-Sugeno-Kang models. The author presents a rather general analytical theory of exact fuzzy modeling and control of continuous and discrete-time dynamical systems. Main attention is paid to usability of the results for the control and computer engineering community and therefore simple and easy knowledge-bases for linguistic interpretation have been used. The approach is based on the author’s theorems concerning equivalence between widely used Takagi-Sugeno systems and some class of multivariate polynomials. It combines the advantages of fuzzy system theory and classical control theory. Classical control theory can be applied to modeling of dynamical plants and the controllers. They are all equivalent to the set of Takagi-Sugeno type fuzzy rules. The approach combines the best of fuzzy and conventional control theory. It enables linguistic interpretability (also called transparency) of both the plant model and the controller. In the case of linear systems and some class of nonlinear systems, engineers can in many cases directly apply well-known classical tools from the control theory both for analysis, and the design of closed-loop fuzzy control systems. Therefore the main objective of the book is to establish comprehensive and unified analytical foundations for fuzzy modeling using the Takagi-Sugeno rule scheme and their applications for fuzzy control, identification of some class of nonlinear dynamical processes and classification problem solver design.

New Approaches to Fuzzy Modeling and Control

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Publisher : World Scientific
ISBN 13 : 9789810243340
Total Pages : 204 pages
Book Rating : 4.2/5 (433 download)

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Book Synopsis New Approaches to Fuzzy Modeling and Control by : Michael Margaliot

Download or read book New Approaches to Fuzzy Modeling and Control written by Michael Margaliot and published by World Scientific. This book was released on 2000 with total page 204 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fuzzy logic has found applications in an incredibly wide range of areas in the relatively wide range of areas in the relatively short time since its conception. It was invented by Lotfi Zadeh, a leading systems expert, so it is perhaps not surprising that system theory is one of the areas in which fuzzy logic has made a profound impact. Fuzzy logic combined with the paradigm of computing with words allows the use and manipulation of human knowledge and reasoning in the modeling and control of dynamical systems. This monograph presents new approaches to the construction of fuzzy models and to the design of fuzzy controllers. The emphasis is on developing methods that allow systematic design on the one hand and mathematical analysis of the resulting system on the other. In particular, the methods described allow rigorous analysis of the stability and robustness of the systems, which are crucial issues in control theory. The first theme of the book is a new approach to the system design and analysis of fuzzy controllers, given linguistic information concerning the plant and the control objective. The new approach, fuzzy Lyapunov synthesis, is a computing-with-words version of the well-known (classical) Lyapunov synthesis method. The second theme of the book is to show that fuzzy controllers are in fact solutions to a nonlinear optimal control problem. The authors formulate a novel nonlinear optimal control problem, consisting of a new state-space model -- referred to as the hyperbolic state-space model -- and a new cost functional and show that its solution is a fuzzy controller. This leads to a new framework for fuzzy modeling and control that combines the advantages of the fuzzyworld, such as linguistic interpretability, and of classical optimal control theory, such as guaranteed stability and robustness.

Analysis and Synthesis of Fuzzy Control Systems

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Author :
Publisher : CRC Press
ISBN 13 : 1420092650
Total Pages : 302 pages
Book Rating : 4.4/5 (2 download)

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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 302 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®.

Fuzzy Modeling for Control

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

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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.

Type-2 Fuzzy Logic in Control of Nonsmooth Systems

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Publisher : Springer
ISBN 13 : 3030031349
Total Pages : 126 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Type-2 Fuzzy Logic in Control of Nonsmooth Systems by : Oscar Castillo

Download or read book Type-2 Fuzzy Logic in Control of Nonsmooth Systems written by Oscar Castillo and published by Springer. This book was released on 2018-11-02 with total page 126 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the synthesis and analysis of fuzzy controllers and its application to a class of mechanical systems. It mainly focuses on the use of type-2 fuzzy controllers to account for disturbances known as hard or nonsmooth nonlinearities. The book, which summarizes the authors’ research on type-2 fuzzy logic and control of mechanical systems, presents models, simulation and experiments towards the control of servomotors with dead-zone and Coulomb friction, and the control of both wheeled mobile robots and a biped robot. Closed-loop systems are analyzed in the framework of smooth and nonsmooth Lyapunov functions.

Intelligent Systems

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Publisher : CRC Press
ISBN 13 : 143980284X
Total Pages : 610 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Intelligent Systems by : Bogdan M. Wilamowski

Download or read book Intelligent Systems written by Bogdan M. Wilamowski and published by CRC Press. This book was released on 2018-10-03 with total page 610 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Industrial Electronics Handbook, Second Edition combines traditional and newer, more specialized knowledge that will help industrial electronics engineers develop practical solutions for the design and implementation of high-power applications. Embracing the broad technological scope of the field, this collection explores fundamental areas, including analog and digital circuits, electronics, electromagnetic machines, signal processing, and industrial control and communications systems. It also facilitates the use of intelligent systems—such as neural networks, fuzzy systems, and evolutionary methods—in terms of a hierarchical structure that makes factory control and supervision more efficient by addressing the needs of all production components. Enhancing its value, this fully updated collection presents research and global trends as published in the IEEE Transactions on Industrial Electronics Journal, one of the largest and most respected publications in the field. As intelligent systems continue to replace and sometimes outperform human intelligence in decision-making processes, they have made substantial contributions to the solution of very complex problems. As a result, the field of computational intelligence has branched out in several directions. For instance, artificial neural networks can learn how to classify patterns, such as images or sequences of events, and effectively model complex nonlinear systems. Simple and easy to implement, fuzzy systems can be applied to successful modeling and system control. Illustrating how these and other tools help engineers model nonlinear system behavior, determine and evaluate system parameters, and ensure overall system control, Intelligent Systems: Addresses various aspects of neural networks and fuzzy systems Focuses on system optimization, covering new techniques such as evolutionary methods, swarm, and ant colony optimizations Discusses several applications that deal with methods of computational intelligence Other volumes in the set: Fundamentals of Industrial Electronics Power Electronics and Motor Drives Control and Mechatronics Industrial Communication Systems

Fundamentals of the Fuzzy Logic-Based Generalized Theory of Decisions

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Publisher : Springer
ISBN 13 : 3642348955
Total Pages : 332 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Fundamentals of the Fuzzy Logic-Based Generalized Theory of Decisions by : Rafik Aziz Aliev

Download or read book Fundamentals of the Fuzzy Logic-Based Generalized Theory of Decisions written by Rafik Aziz Aliev and published by Springer. This book was released on 2013-01-12 with total page 332 pages. Available in PDF, EPUB and Kindle. Book excerpt: Every day decision making and decision making in complex human-centric systems are characterized by imperfect decision-relevant information. Main drawback of the existing decision theories is namely incapability to deal with imperfect information and modeling vague preferences. Actually, a paradigm of non-numerical probabilities in decision making has a long history and arose also in Keynes’s analysis of uncertainty. There is a need for further generalization – a move to decision theories with perception-based imperfect information described in NL. The languages of new decision models for human-centric systems should be not languages based on binary logic but human-centric computational schemes able to operate on NL-described information. Development of new theories is now possible due to an increased computational power of information processing systems which allows for computations with imperfect information, particularly, imprecise and partially true information, which are much more complex than computations over numbers and probabilities. The monograph exposes the foundations of a new decision theory with imperfect decision-relevant information on environment and a decision maker’s behavior. This theory is based on the synthesis of the fuzzy sets theory with perception-based information and the probability theory. The book is self containing and represents in a systematic way the decision theory with imperfect information into the educational systems. The book will be helpful for teachers and students of universities and colleges, for managers and specialists from various fields of business and economics, production and social sphere.

Forging New Frontiers: Fuzzy Pioneers II

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Publisher : Springer
ISBN 13 : 3540731857
Total Pages : 437 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Forging New Frontiers: Fuzzy Pioneers II by : Masoud Nikravesh

Download or read book Forging New Frontiers: Fuzzy Pioneers II written by Masoud Nikravesh and published by Springer. This book was released on 2007-10-30 with total page 437 pages. Available in PDF, EPUB and Kindle. Book excerpt: The chapters of the book are evolved from presentations made by selected participants at the 2005 BISC International Special Event, held at the University of California at Berkely. The papers include reports from the different front of soft computing in various industries and address the problems of different fields of research in fuzzy logic, fuzzy set and soft computing. The book provides a collection of forty-four articles in two volumes.

Control and Filtering of Fuzzy Systems Under Communication Channels

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

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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.

Fault Diagnosis and Fault-Tolerant Control Strategies for Non-Linear Systems

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Publisher : Springer Science & Business Media
ISBN 13 : 3319030140
Total Pages : 239 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis Fault Diagnosis and Fault-Tolerant Control Strategies for Non-Linear Systems by : Marcin Witczak

Download or read book Fault Diagnosis and Fault-Tolerant Control Strategies for Non-Linear Systems written by Marcin Witczak and published by Springer Science & Business Media. This book was released on 2013-12-11 with total page 239 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents selected fault diagnosis and fault-tolerant control strategies for non-linear systems in a unified framework. In particular, starting from advanced state estimation strategies up to modern soft computing, the discrete-time description of the system is employed Part I of the book presents original research results regarding state estimation and neural networks for robust fault diagnosis. Part II is devoted to the presentation of integrated fault diagnosis and fault-tolerant systems. It starts with a general fault-tolerant control framework, which is then extended by introducing robustness with respect to various uncertainties. Finally, it is shown how to implement the proposed framework for fuzzy systems described by the well-known Takagi–Sugeno models. This research monograph is intended for researchers, engineers, and advanced postgraduate students in control and electrical engineering, computer science, as well as mechanical and chemical engineering.

New Horizons for Fuzzy Logic, Neural Networks and Metaheuristics

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Publisher : Springer Nature
ISBN 13 : 3031556844
Total Pages : 422 pages
Book Rating : 4.0/5 (315 download)

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Book Synopsis New Horizons for Fuzzy Logic, Neural Networks and Metaheuristics by : Oscar Castillo

Download or read book New Horizons for Fuzzy Logic, Neural Networks and Metaheuristics written by Oscar Castillo and published by Springer Nature. This book was released on with total page 422 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Theoretical Advances and Applications of Fuzzy Logic and Soft Computing

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Publisher : Springer Science & Business Media
ISBN 13 : 3540724338
Total Pages : 893 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Theoretical Advances and Applications of Fuzzy Logic and Soft Computing by : Oscar Castillo

Download or read book Theoretical Advances and Applications of Fuzzy Logic and Soft Computing written by Oscar Castillo and published by Springer Science & Business Media. This book was released on 2007-06-08 with total page 893 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book comprises a selection of papers on theoretical advances and applications of fuzzy logic and soft computing from the IFSA 2007 World Congress, held in Cancun, Mexico, June 2007. These papers constitute an important contribution to the theory and applications of fuzzy logic and soft computing methodologies.

Handbook of Research on Computational Methodologies in Gene Regulatory Networks

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Publisher : IGI Global
ISBN 13 : 1605666866
Total Pages : 740 pages
Book Rating : 4.6/5 (56 download)

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Book Synopsis Handbook of Research on Computational Methodologies in Gene Regulatory Networks by : Das, Sanjoy

Download or read book Handbook of Research on Computational Methodologies in Gene Regulatory Networks written by Das, Sanjoy and published by IGI Global. This book was released on 2009-10-31 with total page 740 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book focuses on methods widely used in modeling gene networks including structure discovery, learning, and optimization"--Provided by publisher.

Fuzzy Logic

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Publisher : Springer
ISBN 13 : 3540712585
Total Pages : 464 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Fuzzy Logic by : Paul P. Wang

Download or read book Fuzzy Logic written by Paul P. Wang and published by Springer. This book was released on 2007-06-15 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: How far can you take fuzzy logic, the brilliant conceptual framework made famous by George Klir? With this book, you can find out. The authors of this updated edition have extended Klir’s work by taking fuzzy logic into even more areas of application. It serves a number of functions, from an introductory text on the concept of fuzzy logic to a treatment of cutting-edge research problems suitable for a fully paid-up member of the fuzzy logic community.

Intelligent and Fuzzy Systems

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Publisher : Springer Nature
ISBN 13 : 3031671929
Total Pages : 753 pages
Book Rating : 4.0/5 (316 download)

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Book Synopsis Intelligent and Fuzzy Systems by : Cengiz Kahraman

Download or read book Intelligent and Fuzzy Systems written by Cengiz Kahraman and published by Springer Nature. This book was released on with total page 753 pages. Available in PDF, EPUB and Kindle. Book excerpt: