Adaptive output feedback dynamic surface control for a class of stochastic nonlinear systems

Abstract

In this paper, an adaptive output-feedback control scheme is presented for a class of stochastic nonlinear systems with dynamic uncertainties and unmeasured states. Radial basis function neural networks are used to approximate the unknown nonlinear functions. K-filters are designed to estimate the unmeasured states. The changing supply function is employed… (More)

Topics

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