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Adaptive robust stabilization of a class of uncertain non-linear systems with mismatched time-varying parameters

In this paper, an adaptive robust stabilization algorithm is presented for a class of non-linear systems with mismatched uncertainties. In this regard, a new controller based on the Lyapunov theory is proposed in order to overcome the problem of stabilizing non-linear time-varying systems with misma...

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Published in:Proceedings of the Institution of Mechanical Engineers. Part I, Journal of systems and control engineering Journal of systems and control engineering, 2012-02, Vol.226 (2), p.204-214
Main Authors: Arefi, M M, Jahed-Motlagh, M R
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Language:English
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description In this paper, an adaptive robust stabilization algorithm is presented for a class of non-linear systems with mismatched uncertainties. In this regard, a new controller based on the Lyapunov theory is proposed in order to overcome the problem of stabilizing non-linear time-varying systems with mismatched uncertainties. This method is such that the stability of the closed-loop system is guaranteed in the absence of the triangularity assumption. The proposed approach leads to asymptotic convergence of the states of the closed-loop system to zero for unknown but bounded uncertainties. Subsequently, this method is modified so that all the signals in the closed-loop system are uniformly ultimately bounded. Eventually, numerical simulations support the effectiveness of the given algorithm.
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ispartof Proceedings of the Institution of Mechanical Engineers. Part I, Journal of systems and control engineering, 2012-02, Vol.226 (2), p.204-214
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source SAGE; IMechE Titles Via Sage
subjects Adaptive systems
Algorithms
Asymptotic properties
Closed loop systems
Control systems
Control theory
Dynamical systems
Mathematical models
Mechanical engineering
Nonlinear systems
Robust stabilization
Simulation
Uncertainty
title Adaptive robust stabilization of a class of uncertain non-linear systems with mismatched time-varying parameters
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