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عنوان
Fuzzy System Identification and Adaptive Control /

پدید آورنده
Ruiyun Qi, Gang Tao, Bin Jiang.

موضوع
Adaptive control systems.,Fuzzy systems.,Adaptive control systems.,Fuzzy systems.

رده
TJ217
.
G5
2019

کتابخانه
Center and Library of Islamic Studies in European Languages

محل استقرار
استان: Qom ـ شهر: Qom

Center and Library of Islamic Studies in European Languages

تماس با کتابخانه : 32910706-025

INTERNATIONAL STANDARD BOOK NUMBER

(Number (ISBN
3030198820
(Number (ISBN
9783030198824
Erroneous ISBN
3030198812
Erroneous ISBN
9783030198817

TITLE AND STATEMENT OF RESPONSIBILITY

Title Proper
Fuzzy System Identification and Adaptive Control /
General Material Designation
[Book]
First Statement of Responsibility
Ruiyun Qi, Gang Tao, Bin Jiang.

.PUBLICATION, DISTRIBUTION, ETC

Place of Publication, Distribution, etc.
Cham, Switzerlad :
Name of Publisher, Distributor, etc.
Springer,
Date of Publication, Distribution, etc.
[2019]

PHYSICAL DESCRIPTION

Specific Material Designation and Extent of Item
1 online resource (293 pages)

SERIES

Series Title
Communications and Control Engineering

INTERNAL BIBLIOGRAPHIES/INDEXES NOTE

Text of Note
Includes bibliographical references and index.

CONTENTS NOTE

Text of Note
Intro; Preface; Contents; 1 Introduction; 1.1 Basic Concepts of Fuzzy Systems; 1.1.1 Fuzzy Sets; 1.1.2 Fuzzy Logic Operations; 1.1.3 Fuzzy Inference System; 1.2 Typical Fuzzy Systems; 1.2.1 Mamdani Fuzzy Systems; 1.2.2 Takagi-Sugeno (T-S) Fuzzy Systems; 1.3 Fuzzy System Identification; 1.4 Fuzzy System Based Adaptive Control; 1.4.1 Fuzzy Systems as Static Function Approximators; 1.4.2 Fuzzy Systems as Dynamic Systems; 1.5 What This Book Is About; References; 2 T-S Fuzzy Systems; 2.1 Static T-S Fuzzy Systems; 2.2 Dynamic T-S Fuzzy Systems; 2.2.1 Continuous-Time State-Space Form
Text of Note
2.2.2 Discrete-Time State-Space Form2.2.3 Discrete-Time Input-Output Form; 2.3 Universal Approximation Property; 2.4 Stability and Stabilization Control; 2.4.1 Stability of T-S Fuzzy Systems; 2.4.2 Stabilization Control of T-S Fuzzy Systems; 2.5 Tracking Control of T-S Fuzzy Systems; 2.5.1 State Tracking Control; 2.5.2 Output Tracking Control; 2.6 Summary; References; 3 Adaptive Control: A Tutorial Introduction; 3.1 Adaptive Linear Control; 3.1.1 Indirect Adaptive Control; 3.1.2 Direct Adaptive Control; 3.1.3 Model Reference Adaptive Control; 3.1.4 Discrete-Time Adaptive Linear Control
Text of Note
3.2 Adaptive Nonlinear Control3.2.1 A Continuous-Time Design Example; 3.2.2 A Discrete-Time Design Example; 3.3 Summary; References; 4 T-S Fuzzy System Identification Using I/O Data; 4.1 Introduction; 4.2 Offline Identification of T-S Fuzzy Systems; 4.2.1 Identification of Premise Variables; 4.2.2 Identification of Number of Rules; 4.2.3 Estimation of Consequent Parameters; 4.2.4 Adjustment of Membership Parameters; 4.2.5 Procedure for Offline Identification; 4.2.6 Simulation Study; 4.3 Online Identification of T-S Fuzzy Systems; 4.3.1 Online Fuzzy Clustering Algorithm
Text of Note
4.3.2 Estimation of Consequent Parameters4.3.3 Procedure for Online Identification; 4.3.4 Simulation Study; 4.4 Summary; References; 5 Adaptive T-S Fuzzy State Tracking Control Using State Feedback; 5.1 Problem Statement; 5.2 Design for T-S Fuzzy Systems in Canonical Form; 5.2.1 Plant Model and Reference System; 5.2.2 Nominal Controller and Matching Conditions; 5.2.3 Adaptive Control Scheme; 5.3 Design for T-S Fuzzy Systems in General Form (m leqn); 5.3.1 Plant Model and Reference System; 5.3.2 Nominal Controller and Matching Conditions; 5.3.3 Adaptive Control Scheme
0
8
8
8

SUMMARY OR ABSTRACT

Text of Note
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 form T-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.

ACQUISITION INFORMATION NOTE

Source for Acquisition/Subscription Address
Springer

OTHER EDITION IN ANOTHER MEDIUM

Title
Fuzzy System Identification and Adaptive Control.
International Standard Book Number
9783030198817

TOPICAL NAME USED AS SUBJECT

Adaptive control systems.
Fuzzy systems.
Adaptive control systems.
Fuzzy systems.

DEWEY DECIMAL CLASSIFICATION

Number
629
.
8
Edition
23

LIBRARY OF CONGRESS CLASSIFICATION

Class number
TJ217
Book number
.
G5
2019

PERSONAL NAME - PRIMARY RESPONSIBILITY

Qi, Ruiyun

PERSONAL NAME - ALTERNATIVE RESPONSIBILITY

Jiang, Bin
Tao, Gang

ORIGINATING SOURCE

Date of Transaction
20200823091118.0
Cataloguing Rules (Descriptive Conventions))
pn

ELECTRONIC LOCATION AND ACCESS

Electronic name
 مطالعه متن کتاب 

[Book]

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