Title :
Implicit adaptive observers for a class of nonlinear systems
Author :
Zhang, Qinghua ; Xu, Aiping
Author_Institution :
IRISA-INRIA, Rennes, France
Abstract :
The authors propose a nonlinear adaptive observer for joint state and parameter estimation with global convergence. The considered class of nonlinear systems is the one originally considered for the design of high gain observers with an additional term involving a single unknown parameter. It is the fruit of mixing techniques of high gain observers, implicit observers in the form of differential-algebraic equations, and of some new idea for implicit adaptive observers. Potential applications of such adaptive observers are fault detection and isolation, and adaptive control
Keywords :
adaptive control; differential equations; failure analysis; nonlinear control systems; parameter estimation; state estimation; adaptive control; differential-algebraic equations; fault detection; fault isolation; global convergence; high gain observers; implicit adaptive observers; implicit observers; joint state/parameter estimation; nonlinear adaptive observer; nonlinear systems; single unknown parameter; Adaptive control; Convergence; Differential equations; Fault detection; Nonlinear equations; Nonlinear systems; Observers; Parameter estimation; Programmable control; State estimation;
Conference_Titel :
American Control Conference, 2001. Proceedings of the 2001
Conference_Location :
Arlington, VA
Print_ISBN :
0-7803-6495-3
DOI :
10.1109/ACC.2001.945947