Design and performance analysis of tracking controller for uncertain nonlinear composite system using neural networks

Key words:  Uncertain nonlinear composite syst em  Dynamic neural networks  Adaptive control  Performan ce

摘要:

Abstract:

Based on high order dyna mi c neural network, paper presents the tracking problem for uncertain nonlinear composite system,which contain s external disturbance,whose nonlinear ities are assumed to be unknown.A smooth contr oller is designed to guarantee a uniform ultimate boundedness property for the tracking error and a ll other signals in the closed loop.Certain meas ures are utilized to test its performance.No a priori knowledge of an upper bound on the “ optimal" weight and modeling error is required;the weights of neural networks are updated on-line.N umerical simulations performed on a simple example i llustrate and clarify the approach.