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

来源：

SEVENTH INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND APPLICATIONS, PROCEEDINGS | 2008年

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

页码：892 / +

页数：2

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