Title :
Adaptive observer design for a class of Lipschitz nonlinear systems
Author :
Wang Hui ; Dong Yali ; Qin Wen
Author_Institution :
Sch. of Sci., Tianjin Polytech. Univ., Tianjin, China
Abstract :
In this paper, we investigate the problem of adaptive observer design for a class of Lipschitz nonlinear systems with parametric uncertainties in the unmeasured state dynamics. First, the convergence conditions of the nonlinear adaptive observer for a class of Lipschitz nonlinear systems are established in terms of linear matrix inequality. Then the new sufficient conditions are derived to ensure the convergence of the adaptive observer with both linear and nonlinear output correction terms. A numerical example is provided in which the nonlinear terms depend on unmeasured states. The simulation results are presented to show the effectiveness of the proposed method.
Keywords :
adaptive control; linear matrix inequalities; nonlinear control systems; observers; uncertain systems; Lipschitz nonlinear system; adaptive observer design; convergence condition; linear matrix inequality; nonlinear adaptive observer; nonlinear output correction terms; parametric uncertainty; unmeasured state dynamics; Adaptive systems; Convergence; Linear matrix inequalities; Linear systems; Nonlinear systems; Observers; Sufficient conditions; Adaptive Observer; Asymptotic Stability; Lipschitz Nonlinear Systems;
Conference_Titel :
Control Conference (CCC), 2011 30th Chinese
Conference_Location :
Yantai
Print_ISBN :
978-1-4577-0677-6
Electronic_ISBN :
1934-1768