Title :
A set-valued adaptive observer for uncertain nonlinear systems
Author :
Morel, Jorge O. ; Jordán, Mario A.
Author_Institution :
Dept. de Electron., Univ. Nacional de Misiones, Obera, Argentina
Abstract :
In this work an adaptive observer is presented for a class of smooth nonlinear systems with uncertainties. The dynamic uncertainties are caused by unmeasured bounded exogenous perturbations. The system parameters are initially unknown, so they are actualize recursively in a least square sense. The resulting observed states are propagated efficiently in the form of polytopes in the state space. The proposed set-valued observer is not guaranteed and its convergence is not only subjected to persistency and richness conditions of the regressor but also to the compactness of the sequence of state sets
Keywords :
adaptive estimation; convergence; nonlinear systems; observers; recursive estimation; state-space methods; uncertain systems; bounded exogenous perturbations; certainty equivalence principle; convergence; dynamic uncertainties; nonlinear SISO system; polytopes; recursive algorithm; set-valued adaptive observer; smooth nonlinear systems; state set sequence; state space; uncertain nonlinear systems; Convergence; H infinity control; Least squares methods; Nonlinear dynamical systems; Nonlinear systems; Petroleum; Signal processing; State-space methods; TV; Uncertainty;
Conference_Titel :
Circuits and Systems, 1999. 42nd Midwest Symposium on
Conference_Location :
Las Cruces, NM
Print_ISBN :
0-7803-5491-5
DOI :
10.1109/MWSCAS.1999.867807
