Direct adaptive fuzzy control for a class of nonlinear discrete-time systems

Kongzhi Lilun Yu Yingyong/Control Theory and Applications

Volumn 23, Issue 6, 2006, Pages

  Jiang, Hai Bo ^a,b   Zhang, Tian Ping ^a  

^a YANGZHOU UNIVERSITY   (China)

^b YANCHENG TEACHERS UNIVERSITY   (China)

Author keywords

Adaptive control; Fuzzy control; Gradient descent algorithm; Input to state stability; Nonlinear discrete time systems

Indexed keywords

GRADIENT DESCENT ALGORITHM; INPUT TO STATE STABILITY; NONLINEAR DISCRETE TIME SYSTEMS; PARALLEL DISTRIBUTED COMPENSATION (PDC); TAKAGI-SUGENO (T-S) FUZZY MODEL;

ADAPTIVE CONTROL SYSTEMS; CONTROL EQUIPMENT; DISCRETE TIME CONTROL SYSTEMS; NONLINEAR SYSTEMS; STABILITY;

FUZZY CONTROL;

EID: 33947269174     PISSN: 10008152     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (10)

1. TAKAGI T, SUGENO M. Fuzzy identification of systems and its application to modeling and control[J]. IEEE Trans on Systems, Man and Cybernetics, 1985, 15(1): 116-132.
2. TANAKA K, IKEDA T, KIM E, et al. Fuzzy regulators and fuzzy observers: relaxed stability conditions and LMI-based designs[J]. IEEE Trans on Fuzzy Systems, 1998, 6(2): 250-265.
3. CAO S G, REES N W, FENG G. Analysis and design for a class of complex control systems[J]. Automatica, 1997, 33(6): 1017-1028.
4. ZHANG Tianping, FENG Chunbo. A design scheme of robust adaptive control for multivariable systems[J]. J of Southeast University. 1994, 24(6): 66-71.
5. XIE Xuejun, WANG Yuan. Adaptive control of nonlinear discrete-time systems using neural networks and least squres algorithm with dead-zone[J]. Control Theory and Applications, 1999, 16(3): 355-360, 379.
6. GUO Jian, CHEN Qingwei, WU Xiaopei, et al. Stable adaptive control for a class of nonlinear system[J]. Control Theory and Applications, 2003, 20(4): 603-606.
7. GE S S, ZHANG I, LEE T H. Adaptive MNN control for a class of non-affine NARMAX systems with disturbances[J]. Systems and Control Utters, 2004, 53(1): 1-12.
8. FENG G, CHEN G R. Adaptive control of discrete-time chaotic systems: a fuzzy control approach[J]. Chaos, Solitons and Fractals, 2005, 23(2): 459-467.
9. JIANG Z P, WANG Y. Input-to-State stability for discrete-time non linear systems[J]. Automatica, 2001, 37(6): 857-869.
10. YU W, LI X O. Fuzzy identification using fuzzy neural networks with stable learning algorithms[J]. IEEE Trans on Fuzzy Systems, 2004, 12(3): 411-420.