Robust Predictive Controller Based on an Uncertain Neural Networks Model

被引：0

作者：

Mnasser, A. ^{[1
]}

Bouani, F. ^{[2
]}

Ksouri, M. ^{[2
]}

机构：

[1] Fac Sci Tunis, Campus Univ, Tunis 2092, Tunisia

[2] Natl Engn Sch Tunis, Dept Elect Engn, Tunis 1002, Tunisia

来源：

2010 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS IJCNN 2010 | 2010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：

This paper deals with the robust predictive control of nonlinear systems. The behavior of the nonlinear system is described by an uncertainty Feedforward neural networks model, i.e. each output layer's parameter is uncertain. The control problem is formulated as a minimax optimization one which is a non convex problem. The performances of the proposed controller are illustrated and compared to a classical PI controller by a simulation example.

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页数：6

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