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.
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页数：6
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