Design and performance analysis of tracking controller of nonlinear composite systems using neural networks

Authors:	Liu En-dong, Northeastern university, China Jing Yuan-wei, Northeastern university, China Zhang Si-ying, Northeastern university, China Zhang You, Northeastern university, China
Topic:	5.4 Large Scale Complex Systems
Session:	Large Scale Complex Systems
Keywords:	nonlinear composite systems; tracking control; dynamic neural networks; adaptive control; performance

Abstract

A new tracking controller scheme is presented for a class of nonlinear composite system using dynamic neural networks. Lyapunov stability theory is used to guarantee a uniform ultimate boundedness property for the tracking error and all other signals in the closed loop. The controller derived is smooth. In addition, the performance criteria of the mean-square performance are provided to quantify the control performance of proposed method. No a priori knowledge of an upper bound on the "optimal" weights and modelling errors is required. Numerical simulation examples are used to illustrate and clarify the theoretical results.