國立虎尾科技大學 |

Fuzzy system identification and adaptive control

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Fuzzy system identification and adaptive control/ by Ruiyun Qi, Gang Tao, Bin Jiang.
Author:	Qi, Ruiyun.
other author:	Tao, Gang.
Published:	Cham :Springer International Publishing : : 2019.,
Description:	xvii, 282 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
Subject:	Adaptive control systems. -
Online resource:	https://doi.org/10.1007/978-3-030-19882-4
ISBN:	9783030198824

Fuzzy system identification and adaptive control
Qi, Ruiyun.

Fuzzy system identification and adaptive control[electronic resource] /by Ruiyun Qi, Gang Tao, Bin Jiang. - Cham :Springer International Publishing :2019. - xvii, 282 p. :ill., digital ;24 cm. - Communications and control engineering,0178-5354. - Communications and control engineering..

Introduction -- 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.

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.

ISBN: 9783030198824

Standard No.: 10.1007/978-3-030-19882-4doiSubjects--Topical Terms:

528425
Adaptive control systems.

LC Class. No.: TJ217 / .Q785 2019

Dewey Class. No.: 629.8

Fuzzy system identification and adaptive control
LDR:03202nam a2200337 a 4500 001 941227
003 DE-He213
005 20190619120240.0
006 m d
007 cr nn 008maaau
008 200417s2019 gw s 0 eng d
020 $a 9783030198824 $q (electronic bk.)
020 $a 9783030198817 $q (paper)
024 7 $a 10.1007/978-3-030-19882-4 $2 doi
035 $a 978-3-030-19882-4
040 $a GP $c GP
041 0 $a eng
050 4 $a TJ217 $b .Q785 2019
072 7 $a TJFM $2 bicssc
072 7 $a TEC004000 $2 bisacsh
072 7 $a TJFM $2 thema
082 0 4 $a 629.8 $2 23
090 $a TJ217 $b .Q1 2019
100 1 $a Qi, Ruiyun. $3 1228354
245 1 0 $a Fuzzy system identification and adaptive control $h [electronic resource] / $c by Ruiyun Qi, Gang Tao, Bin Jiang.
260 $a Cham : $c 2019. $b Springer International Publishing : $b Imprint: Springer,
300 $a xvii, 282 p. : $b ill., digital ; $c 24 cm.
490 1 $a Communications and control engineering, $x 0178-5354
505 0 $a Introduction -- 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.
520 $a 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.
650 0 $a Adaptive control systems. $3 528425
650 0 $a Fuzzy systems. $3 528426
650 1 4 $a Control and Systems Theory. $3 1211358
650 2 4 $a Systems Theory, Control. $3 669337
650 2 4 $a Artificial Intelligence. $3 646849
650 2 4 $a Computational Intelligence. $3 768837
650 2 4 $a Communications Engineering, Networks. $3 669809
700 1 $a Tao, Gang. $3 771664
700 1 $a Jiang, Bin. $3 1065846
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer eBooks
830 0 $a Communications and control engineering. $3 632829
856 4 0 $u https://doi.org/10.1007/978-3-030-19882-4
950 $a Intelligent Technologies and Robotics (Springer-42732)