Adaptive fuzzy sliding mode control for SISO nonlinear systems

被引：0
|
作者：
Ho, HF [1 ]
Wong, YK [1 ]
Rad, AB [1 ]
机构：
[1] Hong Kong Polytech Univ, Dept Elect Engn, Kowloon, Hong Kong, Peoples R China
来源：
PROCEEDINGS OF THE 12TH IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1 AND 2 | 2003年
关键词：
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：
In this paper, we develop a fuzzy logic system with sliding mode control for unknown nonlinear system. First, an observer for unknown tracking error is designed to obtain a sliding surface. Furthermore, the fuzzy system are employed to approximate the unknown nonlinear functions with e-modification learning laws to ensure the boundedness of estimated parameters. It is proved that the overall adaptive scheme guarantees the ultimately bounded tracking in the Lyapunov sense. Simulation studies have shown that the propose control algorithm performs well in tracking performance.
引用
收藏
页码：1344 / 1349
页数：6
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