Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.sysconle.2008.09.002
Title: Adaptive neural control for a class of switched nonlinear systems
Authors: Han, T.-T.
Sam Ge, S. 
Heng Lee, T. 
Keywords: Adaptive neural control
Backstepping
Impulsive systems
Switched systems
Issue Date: Feb-2009
Source: Han, T.-T., Sam Ge, S., Heng Lee, T. (2009-02). Adaptive neural control for a class of switched nonlinear systems. Systems and Control Letters 58 (2) : 109-118. ScholarBank@NUS Repository. https://doi.org/10.1016/j.sysconle.2008.09.002
Abstract: In this paper, adaptive neural control is presented for a class of switched nonlinear systems with switching jumps and uncertainties in both system models and switching signals. Condition on limiting variation of the Lyapunov function is given for input-to-state asymptotic stability of switched systems with switching jumps. The control objective is achieved uniformly with respect to a class of switching signals. The coupled difficulties from the discrepancy between control gains and switching jumps are overcome by discontinuous adaptive neural control combined with the classical adaptive control. Smooth approximations of the discontinuous controls are then presented for a systematic design procedure. © 2008 Elsevier B.V. All rights reserved.
Source Title: Systems and Control Letters
URI: http://scholarbank.nus.edu.sg/handle/10635/54908
ISSN: 01676911
DOI: 10.1016/j.sysconle.2008.09.002
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