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Based on high order dyna mi c neural network,this 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.
Based on high order dyna mi c neural network, this 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. Subject measures 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. Numercial simulations performed on a simple example i llustrate and clarify the approach.