Fuzzy sliding mode control for nonlinear systems

被引:0
作者
Wang, T [1 ]
Tong, SC [1 ]
机构
[1] Liaoning Inst Technol, Dept Math & Phys, Jinzhou 121001, Peoples R China
来源
PROCEEDINGS OF THE 2004 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7 | 2004年
关键词
fuzzy sliding mode control; nonlinear systems; time-varied sliding surface;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
A new fuzzy sliding mode control based on the design of time-varied sliding surface - and the fuzzy logic system is developed for a kind of uncertain nonlinear systems. The main characteristics of the proposed fuzzy sliding mode control are as follows. The first is that it does not assume that the functions in the systems are known; rather it uses fuzzy logic systems to approNimate them. The second is that the trajectories of the system remain in the time-varied sliding surface from the beginning of any initial states; therefore, it is robust to the parameter variation and disturbance. It is proved that the proposed fuzzy sliding mode control can guarantee the stability of the closed-loop system.
引用
收藏
页码:839 / 844
页数:6
相关论文
共 10 条
[1]  
CHOI BJ, 1999, FUZZY SETS SYSTEMS, V101, P115
[2]  
DONG CY, 1998, J SHANGHAI JIAOTONG, V32, P72
[3]  
HIO X, 1998, FUZZY SETS SYSTEMS, V95, P295
[4]  
JANG LJ, 1994, IEEE T AUTOMATIC CON, V39, P414
[5]   Fuzzy variable structure control [J].
Li, HX ;
Gatland, HB ;
Green, AW .
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 1997, 27 (02) :306-312
[6]   ROBUST-CONTROL BY FUZZY SLIDING MODE [J].
PALM, R .
AUTOMATICA, 1994, 30 (09) :1429-1437
[7]  
Utkin I.V., COMMUNICATIONS CONTR, P1992
[8]   FUZZY BASIS FUNCTIONS, UNIVERSAL APPROXIMATION, AND ORTHOGONAL LEAST-SQUARES LEARNING [J].
WANG, LX ;
MENDEL, JM .
IEEE TRANSACTIONS ON NEURAL NETWORKS, 1992, 3 (05) :807-814
[9]   Adaptive multivariable fuzzy logic controller [J].
Yeh, ZM .
FUZZY SETS AND SYSTEMS, 1997, 86 (01) :43-60
[10]  
ZADEH L, 1935, INFORM CONTR, V8, P338