Key points are not available for this paper at this time.
In this paper, an adaptive multilayer neural-network (NN) controller is designed to deliver a desired tracking performance for the control of a class of unknown nonlinear systems in discrete time where the system is expressed in non-strict feedback form. Three NNs are used where two NNs approximate the dynamics of the nonlinear system whereas the third critic NN generates a critic signal, which is used to tune the weights of the action generating NNs. The NN control scheme uses backstepping approach and presents a well-defined controller design. The stability analysis of the closed-loop control system is given and the uniform ultimately boundedness (UUB) of the closed-loop tracking error is shown.
He et al. (Thu,) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: