Indirect Adaptive Fuzzy Control for a Class of Nonlinear Discrete-Time Systems

被引：4
|
作者：
Shi, Wuxi [1 ]
机构：
[1] Tianjin Polytech Univ, Sch Elect Engn & Automat, Tianjin 300160, Peoples R China
来源：
2010 CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-5 | 2010年
关键词：
Nonlinear Discrete Systems; Adaptive Fuzzy Control; Time-Varying Dead-Zone; DYNAMICAL-SYSTEMS; NEURAL-NETWORKS; LOGIC CONTROL;
D O I：
10.1109/CCDC.2010.5498532
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
An indirect adaptive fuzzy control scheme is developed for a class of nonlinear discrete-time systems. In this scheme, the fuzzy logic systems are used to proximate unknown functions, and the unknown parameters are adjusted by time-varying dead-zone, which its size is adjusted adaptively with the estimated bounds on the approximation errors. The proposed design scheme guarantees that all the signals in the resulting closed-loop system are bounded, and the tracking error converges to a small neighborhood of the origin. Simulation results indicate the effectiveness of this scheme.
引用
收藏
页码：3601 / 3605
页数：5
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