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010   $a3-030-19882-0
024 7 $a10.1007/978-3-030-19882-4
035   $a(CKB)4100000008409494
035   $a(MiAaPQ)EBC5788956
035   $a(DE-He213)978-3-030-19882-4
035   $z(PPN)258851333
035   $a(PPN)243764367
035   $a(EXLCZ)994100000008409494
100   $a20190611d2019      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aFuzzy System Identification and Adaptive Control /$fby Ruiyun Qi, Gang Tao, Bin Jiang
205   $a1st ed. 2019.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019.
215   $a1 online resource (293 pages)
225 1 $aCommunications and Control Engineering,$x2197-7119
311 08$a3-030-19881-2 
327   $aIntroduction -- T?S Fuzzy Systems -- Adaptive Control -- T?S Fuzzy System Identification -- Adaptive T?S Fuzzy State Tracking Control Using State Feedback -- Adaptive T?S Fuzzy Output Tracking Control Using State Feedback -- Adaptive T?S Fuzzy Control Using Output Feedback: SISO Case -- Adaptive T?S Fuzzy Control Using Output Feedback: MIMO Case -- Adaptive T?S Fuzzy Control with Unknown Membership Functions -- Adaptive T?S Fuzzy Control Systems For Fault Compensation -- Conclusions.
330   $aThis book provides readers with a systematic and unified framework for identification and adaptive control of Takagi?Sugeno (T?S) fuzzy systems. Its design techniques help readers applying these powerful tools to solve challenging nonlinear control problems. The book embodies a systematic study of fuzzy system identification and control problems, using T?S fuzzy system tools for both function approximation and feedback control of nonlinear systems. Alongside this framework, the book also: introduces basic concepts of fuzzy sets, logic and inference system; discusses important properties of T?S fuzzy systems; develops offline and online identification algorithms for T?S fuzzy systems; investigates the various controller structures and corresponding design conditions for adaptive control of continuous-time T?S fuzzy systems; develops adaptive control algorithms for discrete-time input?output formT?S fuzzy systems with much relaxed design conditions, and discrete-time state-space T?S fuzzy systems; and designs stable parameter-adaptation algorithms for both linearly and nonlinearly parameterized T?S fuzzy systems. The authors address adaptive fault compensation problems for T?S fuzzy systems subject to actuator faults. They cover a broad spectrum of related technical topics and to develop a substantial set of adaptive nonlinear system control tools. Fuzzy System Identification and Adaptive Control helps engineers in the mechanical, electrical and aerospace fields, to solve complex control design problems. The book can be used as a reference for researchers and academics in nonlinear, intelligent, adaptive and fault-tolerant control.
410  0$aCommunications and Control Engineering,$x2197-7119
606   $aControl engineering
606   $aSystem theory
606   $aControl theory
606   $aArtificial intelligence
606   $aComputational intelligence
606   $aTelecommunication
606   $aControl and Systems Theory
606   $aSystems Theory, Control
606   $aArtificial Intelligence
606   $aComputational Intelligence
606   $aCommunications Engineering, Networks
615  0$aControl engineering.
615  0$aSystem theory.
615  0$aControl theory.
615  0$aArtificial intelligence.
615  0$aComputational intelligence.
615  0$aTelecommunication.
615 14$aControl and Systems Theory.
615 24$aSystems Theory, Control.
615 24$aArtificial Intelligence.
615 24$aComputational Intelligence.
615 24$aCommunications Engineering, Networks.
676   $a001.53
676   $a629.8
700   $aQi$b Ruiyun$4aut$4http://id.loc.gov/vocabulary/relators/aut$01226707
702   $aTao$b Gang$4aut$4http://id.loc.gov/vocabulary/relators/aut
702   $aJiang$b Bin$4aut$4http://id.loc.gov/vocabulary/relators/aut
906   $aBOOK
912   $a9910484867803321
996   $aFuzzy System Identification and Adaptive Control$92848346
997   $aUNINA