Fuzzy approximation-based model reference adaptive control of nonlinear systems

被引：0
|
作者：
Goléa, N [1 ]
Goléa, A [1 ]
Kadjoudj, M [1 ]
机构：
[1] Oum El Bouaghi Univ, Inst Elect Engn, Oum El Bouaghi 04000, Algeria
来源：
CCA 2003: PROCEEDINGS OF 2003 IEEE CONFERENCE ON CONTROL APPLICATIONS, VOLS 1 AND 2 | 2003年
关键词：
fuzzy systems; universal approximation; reference model; adaptive control; nonlinear systems; stability;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Based on the universal approximation capability of the Takagi-Seguno (TS) fuzzy systems, we present a solution to the model reference control of continuous-time nonlinear systems problem. Using the assumption that a fuzzy model exists for the considered nonlinear systems class, a direct TS fuzzy adaptive controller is designed to achieve the tracking objective. It is not required to estimate the fuzzy model, only its existence assumption is required. It is proved, using Lyapunov stability tools, that this adaptive scheme is asymptotically stable and the tracking error converges to zero. Simulation results illustrate the proposed algorithm performance.
引用
收藏
页码：836 / 840
页数：5
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