Adaptive Neural Network L2-Gain Control for Unmodeled Dynamics Nonlinear System

Abstract:

Article Preview

A new control scheme is proposed for the nonlinear system with unmodeled dynamics based on HJI and adaptive neural network L2-gain controller. The aim is to make the closed-loop system a finite gain L2 stable between the disturbance and output of the system. The approach will avoid the limit of precise modelling, only need the unmodeled dynamics to be bounded without the other transcendent information. The simulation results show that the control system designed can satisfy the performance indicators proposed.

Info:

Periodical:

Key Engineering Materials (Volumes 419-420)

Edited by:

Daizhong Su, Qingbin Zhang and Shifan Zhu

Pages:

561-564

DOI:

10.4028/www.scientific.net/KEM.419-420.561

Citation:

G. S. Wang et al., "Adaptive Neural Network L2-Gain Control for Unmodeled Dynamics Nonlinear System", Key Engineering Materials, Vols. 419-420, pp. 561-564, 2010

Online since:

October 2009

Export:

Price:

$35.00

In order to see related information, you need to Login.

In order to see related information, you need to Login.