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      KCI등재 SCIE SCOPUS

      Stability Analysis and Dynamic Output Feedback Control for Nonlinear T-S Fuzzy System with Multiple Subsystems and Normalized Membership Functions

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      https://www.riss.kr/link?id=A105936192

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      다국어 초록 (Multilingual Abstract)

      This paper addresses the stability analysis and dynamic output-feedback control problems for a class of nonlinear Takagi-Sugeno (T-S) fuzzy systems with multiple subsystems and normalized membership functions.
      First, the switching control law of the membership function is proposed based on the membership function for the nonlinear T-S fuzzy subsystems. Secondly, the relaxation parameter is introduced into this switching control law to guarantee a minimal dwell time between two consecutive switching. Then, based on the proposed switching control law of the membership function and relaxation parameter, the dynamic output feedback controller with the estimate algorithm is designed to estimate the attraction domain. By introducing the new switched Lyapunov-Krasovskii functional, it can be seen that the solutions of the resultant closed-loop system converge to an adjustable bounded region. Compared with the previous works, the developed controller in this paper is flexible and smooth, which only uses the system output. And the results are further extended to the mobile robot case and the chemical process case. Finally, two simulation examples are performed to show the effectiveness of the theoretical results.
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      This paper addresses the stability analysis and dynamic output-feedback control problems for a class of nonlinear Takagi-Sugeno (T-S) fuzzy systems with multiple subsystems and normalized membership functions. First, the switching control law of the m...

      This paper addresses the stability analysis and dynamic output-feedback control problems for a class of nonlinear Takagi-Sugeno (T-S) fuzzy systems with multiple subsystems and normalized membership functions.
      First, the switching control law of the membership function is proposed based on the membership function for the nonlinear T-S fuzzy subsystems. Secondly, the relaxation parameter is introduced into this switching control law to guarantee a minimal dwell time between two consecutive switching. Then, based on the proposed switching control law of the membership function and relaxation parameter, the dynamic output feedback controller with the estimate algorithm is designed to estimate the attraction domain. By introducing the new switched Lyapunov-Krasovskii functional, it can be seen that the solutions of the resultant closed-loop system converge to an adjustable bounded region. Compared with the previous works, the developed controller in this paper is flexible and smooth, which only uses the system output. And the results are further extended to the mobile robot case and the chemical process case. Finally, two simulation examples are performed to show the effectiveness of the theoretical results.

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      참고문헌 (Reference)

      1 박진배, "l∞ Fuzzy Filter Design for Nonlinear Systems with Missing Measurements: Fuzzy Basis-dependent Lyapunov Function Approach" 제어·로봇·시스템학회 14 (14): 425-434, 2016

      2 Boukhalfa Abdelouaheb, "Synergetic Adaptive Fuzzy Control for a Class of Nonlinear Discrete-time Systems" 제어·로봇·시스템학회 16 (16): 1981-1988, 2018

      3 J. B. Qiu, "Static-output-feedback control of continuous-time T-S fuzzy affine systems via piecewise Lyapunov functions" 21 (21): 245-261, 2013

      4 M. B. Yazdi, "Stabilization of a CSTR with two arbitrarily switching modes using modal state feedback linearization" 155 (155): 838-843, 2016

      5 D. Zhai, "Stability analysis and state feedback control of continuous-time T-S fuzzy systems via anew switched fuzzy Lyapunov function approach" 293 (293): 586-599, 2017

      6 C. C. Hua, "Smooth dynamic output feedback control for multiple time-delay systems with nonlinear uncertainties" 68 : 1-8, 2016

      7 D. Zhai, "Simultaneous fault detection and control for switched linear systems with mode-dependent average dwell-time" 273 : 767-792, 2016

      8 Y. L. Wei, "Reliable output feedback control of discrete-time fuzzy affine systems with actuator faults" 64 (64): 170-181, 2017

      9 C. Z. Zhang, "Reliable output feedback control for T-S fuzzy systems with decentralized event triggering communication and actuator failures" 47 (47): 2592-2602, 2017

      10 J. B. Qiu, "Reliable fuzzy output feedback control of nonlinear parabolic distributed parameter systems with sensor faults1" 29 (29): 1197-1208, 2015

      1 박진배, "l∞ Fuzzy Filter Design for Nonlinear Systems with Missing Measurements: Fuzzy Basis-dependent Lyapunov Function Approach" 제어·로봇·시스템학회 14 (14): 425-434, 2016

      2 Boukhalfa Abdelouaheb, "Synergetic Adaptive Fuzzy Control for a Class of Nonlinear Discrete-time Systems" 제어·로봇·시스템학회 16 (16): 1981-1988, 2018

      3 J. B. Qiu, "Static-output-feedback control of continuous-time T-S fuzzy affine systems via piecewise Lyapunov functions" 21 (21): 245-261, 2013

      4 M. B. Yazdi, "Stabilization of a CSTR with two arbitrarily switching modes using modal state feedback linearization" 155 (155): 838-843, 2016

      5 D. Zhai, "Stability analysis and state feedback control of continuous-time T-S fuzzy systems via anew switched fuzzy Lyapunov function approach" 293 (293): 586-599, 2017

      6 C. C. Hua, "Smooth dynamic output feedback control for multiple time-delay systems with nonlinear uncertainties" 68 : 1-8, 2016

      7 D. Zhai, "Simultaneous fault detection and control for switched linear systems with mode-dependent average dwell-time" 273 : 767-792, 2016

      8 Y. L. Wei, "Reliable output feedback control of discrete-time fuzzy affine systems with actuator faults" 64 (64): 170-181, 2017

      9 C. Z. Zhang, "Reliable output feedback control for T-S fuzzy systems with decentralized event triggering communication and actuator failures" 47 (47): 2592-2602, 2017

      10 J. B. Qiu, "Reliable fuzzy output feedback control of nonlinear parabolic distributed parameter systems with sensor faults1" 29 (29): 1197-1208, 2015

      11 Q. Zhou, "Prescribed performance observer-based adaptive fuzzy control for nonstrict-feedback stochastic nonlinear systems" 48 (48): 1747-1758, 2018

      12 A. Zemouche, "On LMI conditions to design observers for Lipschitz nonlinear systems" 49 (49): 585-591, 2013

      13 S. C. Tong, "Observerbased adaptive fuzzy back-stepping dynamic surface control for a class of MIMO nonlinear systems" 41 (41): 1124-1135, 2011

      14 C.W.Wu, "Observerbased adaptive fault-tolerant tracking control of nonlinear nonstrict-feedback systems" 29 (29): 3022-3033, 2018

      15 T. C. Wang, "Observer-based outputfeedback asynchronous control for switched fuzzy systems" 47 (47): 2579-2591, 2017

      16 S. C. Tong, "Observed-based adaptive fuzzy decentralized tracking control for switched uncertain nonlinear large-scale systems with dead zones" 46 (46): 37-47, 2016

      17 Y. L.Wei, "New results on H-∞ dynamic output feedback control for Markovian jump systems with time-varying delay and defective mode information" 35 (35): 656-675, 2015

      18 T. Wang, "Networkbased fuzzy control for nonlinear industrial processes with predictive compensation strategy" 47 (47): 2137-2147, 2017

      19 구근범, "Intelligent Digital Redesign for Sampled-data Fuzzy Control Systems Based on State-matching Error Cost Function Approach" 제어·로봇·시스템학회 16 (16): 350-359, 2018

      20 W. Yu, "Hierarchical fuzzy CMAC for nonlinear systems modeling" 16 (16): 1302-1314, 2008

      21 J. B. Qiu, "Fuzzy-modelbased reliable static output feedback H-∞ control of nonlinear hyperbolic PDE systems" 24 (24): 388-400, 2016

      22 X. H. Chang, "Fuzzy robust dynamic output feedback control of nonlinear systems with linear fractional parametric uncertainties" 291 : 213-225, 2016

      23 H. Y. Li, "Fuzzy dynamic outputfeedback control of non-linear networked discrete-time system with missing measurements" 9 (9): 327-335, 2015

      24 S. C. Tong, "Fuzzy adaptive output feedback control of MIMO nonlinear systems with partial tracking errors constrained" 23 (23): 729-742, 2015

      25 이창주, "Fuzzy H∞ FIR Filtering for T–S Fuzzy Systems with Quantization and Packet Dropout" 제어·로봇·시스템학회 16 (16): 961-971, 2018

      26 Y. L. Wei, "Fixed-order piecewise-affine output feedback controller for fuzzyaffine-model-based nonlinear systems with time-varying delay" 64 (64): 945-958, 2017

      27 C. Z. Zhang, "Eventtriggered nonsynchronized H- filtering for discrete-time TS fuzzy systems based on piecewise Lyapunov functions" 47 (47): 2330-2341, 2017

      28 Jeang-Lin Chang, "Disturbance Observer Based Output Feedback Controller Design for Systems with Mismatched Disturbance" 제어·로봇·시스템학회 16 (16): 1775-1782, 2018

      29 T. Wang, "Distributed fuzzy H-∞ filtering for nonlinear multirate networked double-layer industrial processes" 64 (64): 5203-5211, 2017

      30 Y. L. Wei, "Approaches to T-S fuzzy-affine-model-based reliable output feedback control for nonlinear Ito stochastic systems" 25 (25): 569-583, 2017

      31 Y. M. Li, "Adaptive output-feedback control design with prescribed performance for switched nonlinear systems" 80 : 225-231, 2017

      32 Y. M. Li, "Adaptive fuzzy robust output feedback control of nonlinear systems with unknown dead zones based on a small-gain approach" 22 (22): 164-176, 2014

      33 Y. M. Li, "Adaptive fuzzy output-feedback stabilization control for a class of switched nonstrictfeedback nonlinear systems" 47 (47): 1007-1016, 2017

      34 C. C. Hua, "Adaptive fuzzy output-feedback controller design for nonlinear time-delay systems with unknown control direction" 39 (39): 363-374, 2009

      35 Y. Li, "Adaptive fuzzy decentralized output feedback control for stochastic nonlinear large-scale systems" 23 (23): 381-399, 2013

      36 C. W. Wu, "Adaptive fuzzy control for nonlinear networked control systems" 47 (47): 2420-2430, 2017

      37 T. Wang, "Adaptive fuzzy backstepping control for a class of nonlinear systems with sampled and delayed measurements" 23 (23): 302-312, 2015

      38 박수창, "Adaptive Fuzzy Super-twisting Backstepping Control Design for MIMO Nonlinear Strict Feedback Systems" 제어·로봇·시스템학회 16 (16): 1165-1178, 2018

      39 Y. L. Wei, "A new design of H-infinity piecewise filtering for discrete-time nonlinear time-varying delay systems via T-S fuzzy affine models" 47 (47): 2034-2047, 2017

      40 D. H. Lee, "A fuzzy Lyapunov function approach to estimating the domain of attraction for continuous-time Takagi-Sugeno fuzzy systems" 185 (185): 230-248, 2012

      41 T. Wang, "A combined faulttolerant and predictive control for network-based industrial processes" 63 (63): 2529-2536, 2016

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2023 평가예정 해외DB학술지평가 신청대상 (해외등재 학술지 평가)
      2020-01-01 평가 등재학술지 유지 (해외등재 학술지 평가) KCI등재
      2010-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2009-12-29 학회명변경 한글명 : 제어ㆍ로봇ㆍ시스템학회 -> 제어·로봇·시스템학회 KCI등재
      2008-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2007-10-29 학회명변경 한글명 : 제어ㆍ자동화ㆍ시스템공학회 -> 제어ㆍ로봇ㆍ시스템학회
      영문명 : The Institute Of Control, Automation, And Systems Engineers, Korea -> Institute of Control, Robotics and Systems
      KCI등재
      2005-01-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      2004-01-01 평가 등재후보 1차 PASS (등재후보1차) KCI등재후보
      2002-07-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
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      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 1.35 0.6 1.07
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.88 0.73 0.388 0.04
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