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000891423 019__ $$a1104856593$$a1106162542
000891423 020__ $$a9783030198824$$q(electronic book)
000891423 020__ $$a3030198820$$q(electronic book)
000891423 020__ $$z3030198812
000891423 020__ $$z9783030198817
000891423 0248_ $$a10.1007/978-3-030-19
000891423 035__ $$aSP(OCoLC)on1104713362
000891423 035__ $$aSP(OCoLC)1104713362$$z(OCoLC)1104856593$$z(OCoLC)1106162542
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000891423 050_4 $$aTJ217$$b.G5 2019
000891423 08204 $$a629.8$$223
000891423 1001_ $$aQi, Ruiyun,$$eauthor.
000891423 24510 $$aFuzzy System Identification and Adaptive Control /$$cRuiyun Qi, Gang Tao, Bin Jiang.
000891423 264_1 $$aCham, Switzerlad :$$bSpringer,$$c[2019]
000891423 300__ $$a1 online resource (293 pages).
000891423 336__ $$atext$$btxt$$2rdacontent
000891423 337__ $$acomputer$$bc$$2rdamedia
000891423 338__ $$aonline resource$$bcr$$2rdacarrier
000891423 4901_ $$aCommunications and Control Engineering
000891423 504__ $$aIncludes bibliographical references and index.
000891423 5050_ $$aIntro; Preface; Contents; 1 Introduction; 1.1 Basic Concepts of Fuzzy Systems; 1.1.1 Fuzzy Sets; 1.1.2 Fuzzy Logic Operations; 1.1.3 Fuzzy Inference System; 1.2 Typical Fuzzy Systems; 1.2.1 Mamdani Fuzzy Systems; 1.2.2 Takagi-Sugeno (T-S) Fuzzy Systems; 1.3 Fuzzy System Identification; 1.4 Fuzzy System Based Adaptive Control; 1.4.1 Fuzzy Systems as Static Function Approximators; 1.4.2 Fuzzy Systems as Dynamic Systems; 1.5 What This Book Is About; References; 2 T-S Fuzzy Systems; 2.1 Static T-S Fuzzy Systems; 2.2 Dynamic T-S Fuzzy Systems; 2.2.1 Continuous-Time State-Space Form
000891423 5058_ $$a2.2.2 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
000891423 5058_ $$a3.2 Adaptive Nonlinear Control3.2.1 A Continuous-Time Design Example; 3.2.2 A Discrete-Time Design Example; 3.3 Summary; References; 4 T-S Fuzzy System Identification Using I/O Data; 4.1 Introduction; 4.2 Offline Identification of T-S Fuzzy Systems; 4.2.1 Identification of Premise Variables; 4.2.2 Identification of Number of Rules; 4.2.3 Estimation of Consequent Parameters; 4.2.4 Adjustment of Membership Parameters; 4.2.5 Procedure for Offline Identification; 4.2.6 Simulation Study; 4.3 Online Identification of T-S Fuzzy Systems; 4.3.1 Online Fuzzy Clustering Algorithm
000891423 5058_ $$a4.3.2 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
000891423 506__ $$aAccess limited to authorized users.
000891423 520__ $$aThis 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.
000891423 588__ $$aDescription based on online resource; title from digital title page (viewed on July 17, 2019).
000891423 650_0 $$aAdaptive control systems.
000891423 650_0 $$aFuzzy systems.
000891423 7001_ $$aTao, Gang,$$eauthor.
000891423 7001_ $$aJiang, Bin,$$eauthor.
000891423 77608 $$iPrint version:$$aQi, Ruiyun$$tFuzzy System Identification and Adaptive Control$$dCham : Springer,c2019$$z9783030198817
000891423 830_0 $$aCommunications and control engineering.
000891423 852__ $$bebk
000891423 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-030-19882-4$$zOnline Access$$91397441.1
000891423 909CO $$ooai:library.usi.edu:891423$$pGLOBAL_SET
000891423 980__ $$aEBOOK
000891423 980__ $$aBIB
000891423 982__ $$aEbook
000891423 983__ $$aOnline
000891423 994__ $$a92$$bISE