Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.automatica.2006.12.014
Title: Adaptive neural control of MIMO nonlinear state time-varying delay systems with unknown dead-zones and gain signs
Authors: Zhang, T.P.
Ge, S.S. 
Keywords: Adaptive control
Dead-zone
Neural networks
Nonlinear time-varying delay systems
Sliding mode control
Issue Date: Jun-2007
Source: Zhang, T.P., Ge, S.S. (2007-06). Adaptive neural control of MIMO nonlinear state time-varying delay systems with unknown dead-zones and gain signs. Automatica 43 (6) : 1021-1033. ScholarBank@NUS Repository. https://doi.org/10.1016/j.automatica.2006.12.014
Abstract: In this paper, adaptive neural control is proposed for a class of uncertain multi-input multi-output (MIMO) nonlinear state time-varying delay systems in a triangular control structure with unknown nonlinear dead-zones and gain signs. The design is based on the principle of sliding mode control and the use of Nussbaum-type functions in solving the problem of the completely unknown control directions. The unknown time-varying delays are compensated for using appropriate Lyapunov-Krasovskii functionals in the design. The approach removes the assumption of linear functions outside the deadband as an added contribution. By utilizing the integral Lyapunov function and introducing an adaptive compensation term for the upper bound of the residual and optimal approximation error as well as the dead-zone disturbance, the closed-loop control system is proved to be semi-globally uniformly ultimately bounded. Simulation results demonstrate the effectiveness of the approach. © 2007.
Source Title: Automatica
URI: http://scholarbank.nus.edu.sg/handle/10635/54911
ISSN: 00051098
DOI: 10.1016/j.automatica.2006.12.014
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