Nonlinear Discrete-time Adaptive Controller based on Fuzzy rules Emulated Network and its Estimated Gradient

被引:0
|
作者
Treesatayapun, Chidentree [1 ]
Parra Vega, Vicente [1 ]
Ruiz Sanchez, Francisco Jose [1 ]
机构
[1] CINVESTAV, Dept Robot & Mfg, Saltillo 25900, Coahuila, Mexico
关键词
D O I
10.1109/ICMLA.2008.108
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The adaptive controller for a class of nonlinear discrete-time systems based on Multi-Input Fuzzy Rules Emulated Network (MIFREN) is introduced in this article. MIFREN is assigned to identify the unknown plant under control, then a novel control law is introduced based the previously identified plant with another MIFREN. All control parameters, including the learning rates are selected to guarantee bounded close-loop signals, via Lyapunov stability criteria. The performance of the proposed control algorithm is demonstrated by computer simulation results.
引用
收藏
页码:892 / +
页数:2
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