Title :
Parameter convergence in systems with convex/concave parameterization
Author :
Koji, A. ; Cao, Chengyu ; Annaswamy, Anuradha M.
Author_Institution :
Dept. of Mech. Eng., MIT, Cambridge, MA, USA
Abstract :
A large class of problems in parameter estimation concerns systems where parameters occur nonlinearly. We address the issue of parameter convergence in such systems. Sufficient conditions under which parameter estimates converge to their true values are derived and shown to be stronger than the standard persistent excitation requirements in linearly parameterized systems
Keywords :
adaptive control; convergence; nonlinear control systems; parameter estimation; uncertain systems; concave parameterization; convex parameterization; linearly parameterized systems; parameter convergence; standard persistent excitation requirements; sufficient conditions; Adaptive control; Control systems; Convergence; Laboratories; Mechanical engineering; Nonlinear control systems; Nonlinear systems; Parameter estimation; Stability; Sufficient conditions;
Conference_Titel :
American Control Conference, 2000. Proceedings of the 2000
Conference_Location :
Chicago, IL
Print_ISBN :
0-7803-5519-9
DOI :
10.1109/ACC.2000.878578
