Finite-Time H∞ Fuzzy Control of Nonlinear Jump Systems With Time Delays Via Dynamic Observer-Based State Feedback

被引:180
作者
He, Shuping [1 ]
Liu, Fei [2 ]
机构
[1] Anhui Univ, Coll Elect Engn & Automat, Minist Educ, Key Lab Intelligent Comp & Signal Proc, Hefei 230601, Peoples R China
[2] Jiangnan Univ, Inst Automat, Minist Educ, Key Lab Adv Proc Control Light Ind, Wuxi 214122, Peoples R China
关键词
Finite-time H-proportional to control; linear matrix inequalities (LMIs); Markov jump systems (M[!text type='JS']JS[!/text]s); observer-based state feedback; Takagi-Sugeno (T-S) fuzzy model; FAULT-DETECTION; NETWORKED CONTROL; FILTER DESIGN; STABILITY; STABILIZATION;
D O I
10.1109/TFUZZ.2011.2177842
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper studies the finite-time H-infinity control problem for time-delay nonlinear jump systems via dynamic observer-based state feedback by the fuzzy Lyapunov-Krasovskii functional approach. The Takagi-Sugeno (T-S) fuzzy model is first employed to represent the presented nonlinear Markov jump systems (MJSs) with time delays. Based on the selected Lyapunov-Krasovskii functional, the observer-based state feedback controller is constructed to derive a sufficient condition such that the closed-loop fuzzy MJSs is finite-time bounded and satisfies a prescribed level of H-infinity disturbance attenuation in a finite time interval. Then, in terms of linear matrix inequality (LMIs) techniques, the sufficient condition on the existence of the finite-time H-infinity fuzzy observer-based controller is presented and proved. The controller and observer can be obtained directly by using the existing LMIs optimization techniques. Finally, a numerical example is given to illustrate the effectiveness of the proposed design approach.
引用
收藏
页码:605 / 614
页数:10
相关论文
共 49 条
  • [1] Finite-time stabilization via dynamic output feedback
    Amato, F
    Ariola, M
    Cosentino, C
    [J]. AUTOMATICA, 2006, 42 (02) : 337 - 342
  • [2] Input-output finite time stabilization of linear systems
    Amato, F.
    Ambrosino, R.
    Cosentino, C.
    De Tommasi, G.
    [J]. AUTOMATICA, 2010, 46 (09) : 1558 - 1562
  • [3] Robust H∞ fuzzy control approach for a class of Markovian jump nonlinear systems
    Arrifano, Natache S. D.
    Oliveira, Vilma A.
    [J]. IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2006, 14 (06) : 738 - 754
  • [4] COMMAND AND CONTROL (C2) THEORY - A CHALLENGE TO CONTROL SCIENCE
    ATHANS, M
    [J]. IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 1987, 32 (04) : 286 - 293
  • [5] Boyd S., 1994, LINEAR MATRIX INEQUA
  • [6] Analysis and synthesis of nonlinear time-delay systems via fuzzy control approach
    Cao, YY
    Frank, PM
    [J]. IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2000, 8 (02) : 200 - 211
  • [7] Constrained quadratic state feedback control of discrete-time Markovian jump linear systems
    Costa, OLV
    Assumpcao, EO
    Boukas, EK
    Marques, RP
    [J]. AUTOMATICA, 1999, 35 (04) : 617 - 626
  • [8] Ding Q, 2010, INT J INNOV COMPUT I, V6, P995
  • [9] Robust H∞ Fuzzy Output-Feedback Control With Multiple Probabilistic Delays and Multiple Missing Measurements
    Dong, Hongli
    Wang, Zidong
    Ho, Daniel W. C.
    Gao, Huijun
    [J]. IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2010, 18 (04) : 712 - 725
  • [10] Control Synthesis of T-S Fuzzy Systems Based on a New Control Scheme
    Dong, Jiuxiang
    Yang, Guang-Hong
    [J]. IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2011, 19 (02) : 323 - 338