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Adaptive Control of a Class of Nonlinear Systems Using Multiple Parameter Models  

Lee Choon-Young (School of Mechanical Engineering, Kyungpook National University)
Publication Information
International Journal of Control, Automation, and Systems / v.4, no.4, 2006 , pp. 428-437 More about this Journal
Abstract
Many physical systems are hybrid in the sense that they have continuous behaviors and discrete phenomena. In control system with multiple models, switching strategy and stability of the closed-loop system under switching are very important issues. In this paper, a novel adaptive control scheme based on multiple parameter models is proposed to cope with a change in Parameters. Switching strategy guarantees the non-increase in the global control Lyapunov function if the estimation of Lyapunov function value converges. Least-square estimation is used to find the estimated value of the Lyapunov function. Switching and adaptation law guarantees the stability of closed-loop system in the sense of Lyapunov. Simulation results on anti-lock brake system are shown to verify the effectiveness of the proposed controller in view of a large change in system parameters.
Keywords
Adaptive control; anti-lock bake system; multiple model; stability;
Citations & Related Records

Times Cited By Web Of Science : 5  (Related Records In Web of Science)
Times Cited By SCOPUS : 7
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