Neural Inverse Optimal Control for Discrete-Time Uncertain Nonlinear Systems Stabilization

被引：0

作者：

Ornelas-Tellez, Fernando ^{[1
]}

Sanchez, Edgar N. ^{[2
]}

Garcia-Hernandez, Ramon ^{[1
]}

Ruz-Hernandez, Jose A. ^{[1
]}

Rullan-Lara, Jose L. ^{[1
]}

机构：

[1] Univ Autonoma Carmen, Cd Del Carmen 24180, Campeche, Mexico

[2] Unided Guadalajara, CINVESTAV, Mexico City 45015, DF, Mexico

来源：

2012 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN) | 2012年

关键词：

DRIVEN; DESIGN; NOISE;

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 discusses neural inverse optimal control to achieve stabilization for discrete-time uncertain nonlinear systems, and minimizing a meaningful cost functional. A neural identifier scheme is used to model the uncertain nonlinear system, and based on this neural model and the knowledge of a control Lyapunov function, then the inverse optimal controller is synthesized in order to achieve exponential stability. An example illustrates the applicability of the proposed control technique.

引用

页数：6

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