Title :
Adaptive observer for simultaneous estimation of state and parameter for a class of nonlinear systems
Author :
Gang Zheng ; Boutat, Driss
Author_Institution :
Non-A team, INRIA - Lille Nord Eur., Villeneuve-d´Ascq, France
Abstract :
In this paper, we investigate the problem of adaptive observer for simultaneous estimation of state and parameter for a class of nonlinear systems which is of the output depending normal form. Necessary condition for the existence of such an observer is derived. An academic example is given in order to illustrate the effectiveness of the proposed results.
Keywords :
nonlinear systems; observers; parameter estimation; state estimation; adaptive observer; necessary condition; nonlinear systems; output depending normal form; parameter estimation; simultaneous state/parameter estimation; Adaptive systems; Convergence; Noise; Noise measurement; Nonlinear systems; Observers;
Conference_Titel :
Control Conference (CCC), 2014 33rd Chinese
Conference_Location :
Nanjing
DOI :
10.1109/ChiCC.2014.6896915
