Adaptive NN output-feedback control for stochastic time-delay nonlinear systems with unknown control coefficients and perturbations
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Articles
Hui Fang Fang Min
Jiangsu Normal University, China
Na Duan
Nanjing University of Science and Technology, China
Published 2016-07-21
https://doi.org/10.15388/NA.2016.4.6
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Keywords

stochastic nonlinear system
output-feedback control
time-varying delays
neural networks
unknown control directions

How to Cite

Min, H.F.F. and Duan, N. (2016) “Adaptive NN output-feedback control for stochastic time-delay nonlinear systems with unknown control coefficients and perturbations”, Nonlinear Analysis: Modelling and Control, 21(4), pp. 515–530. doi:10.15388/NA.2016.4.6.

Abstract

This paper addresses the problem of adaptive output-feedback control for more general class of stochastic time-varying delay nonlinear systems with unknown control coefficients and perturbations. By using Lyapunov–Krasovskii functional, backstepping and tuning function technique, a novel adaptive neural network (NN) output-feedback controller is constructed with fewer learning parameters. The designed controller guarantees that all the signals in the closed-loop system are 4-moment (or mean square) semi-globally uniformly ultimately bounded (SGUUB). Finally, a simulation example is shown to demonstrate the effectiveness of the proposed control scheme.

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