Identification And Adaptive Control Of A Class Of Nonlinear Systems With Fuzzy System Models
DOWNLOAD
Download Identification And Adaptive Control Of A Class Of Nonlinear Systems With Fuzzy System Models PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Identification And Adaptive Control Of A Class Of Nonlinear Systems With Fuzzy System Models book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Identification And Adaptive Control Of A Class Of Nonlinear Systems With Fuzzy System Models
DOWNLOAD
Author :
language : en
Publisher:
Release Date :
Identification And Adaptive Control Of A Class Of Nonlinear Systems With Fuzzy System Models written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
HKUST Call Number: Thesis ELEC 2001 Wan.
Fuzzy System Identification And Adaptive Control
DOWNLOAD
Author : Ruiyun Qi
language : en
Publisher: Springer
Release Date : 2019-06-11
Fuzzy System Identification And Adaptive Control written by Ruiyun Qi and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-11 with Technology & Engineering categories.
This book provides readers with a systematic and unified framework for identification and adaptive control of Takagi–Sugeno (T–S) fuzzy systems. Its design techniques help readers applying these powerful tools to solve challenging nonlinear control problems. The book embodies a systematic study of fuzzy system identification and control problems, using T–S fuzzy system tools for both function approximation and feedback control of nonlinear systems. Alongside this framework, the book also: introduces basic concepts of fuzzy sets, logic and inference system; discusses important properties of T–S fuzzy systems; develops offline and online identification algorithms for T–S fuzzy systems; investigates the various controller structures and corresponding design conditions for adaptive control of continuous-time T–S fuzzy systems; develops adaptive control algorithms for discrete-time input–output formT–S fuzzy systems with much relaxed design conditions, and discrete-time state-space T–S fuzzy systems; and designs stable parameter-adaptation algorithms for both linearly and nonlinearly parameterized T–S fuzzy systems. The authors address adaptive fault compensation problems for T–S fuzzy systems subject to actuator faults. They cover a broad spectrum of related technical topics and to develop a substantial set of adaptive nonlinear system control tools. Fuzzy System Identification and Adaptive Control helps engineers in the mechanical, electrical and aerospace fields, to solve complex control design problems. The book can be used as a reference for researchers and academics in nonlinear, intelligent, adaptive and fault-tolerant control.
System Identification And Adaptive Control
DOWNLOAD
Author : Yiannis Boutalis
language : en
Publisher: Springer Science & Business
Release Date : 2014-04-23
System Identification And Adaptive Control written by Yiannis Boutalis and has been published by Springer Science & Business this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-04-23 with Technology & Engineering categories.
Presenting current trends in the development and applications of intelligent systems in engineering, this monograph focuses on recent research results in system identification and control. The recurrent neurofuzzy and the fuzzy cognitive network (FCN) models are presented. Both models are suitable for partially-known or unknown complex time-varying systems. Neurofuzzy Adaptive Control contains rigorous proofs of its statements which result in concrete conclusions for the selection of the design parameters of the algorithms presented. The neurofuzzy model combines concepts from fuzzy systems and recurrent high-order neural networks to produce powerful system approximations that are used for adaptive control. The FCN model stems from fuzzy cognitive maps and uses the notion of “concepts” and their causal relationships to capture the behavior of complex systems. The book shows how, with the benefit of proper training algorithms, these models are potent system emulators suitable for use in engineering systems. All chapters are supported by illustrative simulation experiments, while separate chapters are devoted to the potential industrial applications of each model including projects in: • contemporary power generation; • process control and • conventional benchmarking problems. Researchers and graduate students working in adaptive estimation and intelligent control will find Neurofuzzy Adaptive Control of interest both for the currency of its models and because it demonstrates their relevance for real systems. The monograph also shows industrial engineers how to test intelligent adaptive control easily using proven theoretical results.
Fuzzy If Then Rules In Computational Intelligence
DOWNLOAD
Author : Da Ruan
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Fuzzy If Then Rules In Computational Intelligence written by Da Ruan and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Mathematics categories.
During the last three decades, interest has increased significantly in the representation and manipulation of imprecision and uncertainty. Perhaps the most important technique in this area concerns fuzzy logic or the logic of fuzziness initiated by L. A. Zadeh in 1965. Since then, fuzzy logic has been incorporated into many areas of fundamental science and into the applied sciences. More importantly, it has been successful in the areas of expert systems and fuzzy control. The main body of this book consists of so-called IF-THEN rules, on which experts express their knowledge with respect to a certain domain of expertise. Fuzzy IF-THEN Rules in Computational Intelligence: Theory and Applications brings together contributions from leading global specialists who work in the domain of representation and processing of IF-THEN rules. This work gives special attention to fuzzy IF-THEN rules as they are being applied in computational intelligence. Included are theoretical developments and applications related to IF-THEN problems of propositional calculus, fuzzy predicate calculus, implementations of the generalized Modus Ponens, approximate reasoning, data mining and data transformation, techniques for complexity reduction, fuzzy linguistic modeling, large-scale application of fuzzy control, intelligent robotic control, and numerous other systems and practical applications. This book is an essential resource for engineers, mathematicians, and computer scientists working in fuzzy sets, soft computing, and of course, computational intelligence.
Modern Adaptive Fuzzy Control Systems
DOWNLOAD
Author : Ardashir Mohammadzadeh
language : en
Publisher: Springer Nature
Release Date : 2022-11-02
Modern Adaptive Fuzzy Control Systems written by Ardashir Mohammadzadeh and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-02 with Technology & Engineering categories.
This book explains the basic concepts, theory and applications of fuzzy systems in control in a simple unified approach with clear ex-amples and simulations in the MATLAB programming language. Fuzzy systems, especially, type-2 neuro-fuzzy systems, are now used extensively in various engineering fields for different purposes. In plain language, this book aims to practically explain fuzzy sys-tems and different methods of training and optimizing these systems. For this purpose, type-2 neuro-fuzzy systems are first analyzed along with various methods of training and optimizing these systems through implementation in MATLAB. These systems are then em-ployed to design adaptive fuzzy controllers. The authors aim at pre-senting all the well-known optimization methods clearly and code them in the MATLAB language.
Chaotic Systems Theory And Applications Selected Papers From The 2nd Chaotic Modeling And Simulation International Conference Chaos2009
DOWNLOAD
Author : Christos H Skiadas
language : en
Publisher: World Scientific
Release Date : 2010-01-13
Chaotic Systems Theory And Applications Selected Papers From The 2nd Chaotic Modeling And Simulation International Conference Chaos2009 written by Christos H Skiadas and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-01-13 with Science categories.
This volume contains a collection of papers suggested by the Scientific Committee that includes the best papers presented in the 2nd International Conference (CHAOS2009) on Chaotic Modeling, Simulation and Applications, that was held in Chania, Crete, Greece, June 1-5, 2009. The aim of the conference was to invite and bring together people working in interesting topics of chaotic modeling, nonlinear and dynamical systems and chaotic simulation.The volume presents theoretical and applied contributions on chaotic systems. Papers from several nonlinear analysis and chaotic fields are included and new and very important results are presented. Emphasis was given to the selection of works that have significant impact in the chaotic field and open new horizons to further develop related topics and subjects. Even more the selected papers are addressed to an interdisciplinary audience aiming at the broad dissemination of the theory and practice of chaotic modeling and simulation and nonlinear science.
Stability And Control Of Nonlinear Time Varying Systems
DOWNLOAD
Author : Shuli Guo
language : en
Publisher: Springer
Release Date : 2018-04-12
Stability And Control Of Nonlinear Time Varying Systems written by Shuli Guo and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-04-12 with Technology & Engineering categories.
This book presents special systems derived from industrial models, including the complex saturation nonlinear functions and the delay nonlinear functions. It also presents typical methods, such as the classical Liapunov and Integral Inequalities methods. Providing constructive qualitative and stability conditions for linear systems with saturated inputs in both global and local contexts, it offers practitioners more concise model systems for modern saturation nonlinear techniques, which have the potential for future applications. This book is a valuable guide for researchers and graduate students in the fields of mathematics, control, and engineering.
Adaptive And Natural Computing Algorithms
DOWNLOAD
Author : Marco Tomassini
language : en
Publisher: Springer
Release Date : 2013-04-12
Adaptive And Natural Computing Algorithms written by Marco Tomassini and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-12 with Computers categories.
The book constitutes the refereed proceedings of the 11th International Conference on Adaptive and Natural Computing Algorithms, ICANNGA 2013, held in Lausanne, Switzerland, in April 2013. The 51 revised full papers presented were carefully reviewed and selected from a total of 91 submissions. The papers are organized in topical sections on neural networks, evolutionary computation, soft computing, bioinformatics and computational biology, advanced computing, and applications.
Applied Mechanics Reviews
DOWNLOAD
Author :
language : en
Publisher:
Release Date : 1948
Applied Mechanics Reviews written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1948 with Mechanics, Applied categories.
Multiple Model Approaches To Nonlinear Modelling And Control
DOWNLOAD
Author : R Murray-Smith
language : en
Publisher: CRC Press
Release Date : 2020-11-25
Multiple Model Approaches To Nonlinear Modelling And Control written by R Murray-Smith and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-25 with Technology & Engineering categories.
This work presents approaches to modelling and control problems arising from conditions of ever increasing nonlinearity and complexity. It prescribes an approach that covers a wide range of methods being combined to provide multiple model solutions. Many component methods are described, as well as discussion of the strategies available for building a successful multiple model approach.