Paper Title:
Adaptive Neural Network L2-Gain Control for Unmodeled Dynamics Nonlinear System
  Abstract

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, Z. G. Yu, S. M. Song, "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
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Price
$32.00
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