Title :
Nonlinear robust adaptive observers
Author :
Azemi, Asad ; Yaz, Edwin Engin
Author_Institution :
Dept. of Eng., Pennsylvania State Delaware County Campus, Media, PA, USA
fDate :
31 Mar-2 Apr 1996
Abstract :
Extensions of a robust adaptive observer are presented for state reconstruction of nonlinear systems with uncertainty having unknown bounds. The observers use nonlinear gains which are continuously updated to guarantee a globally asymptotically convergent observation error. A generalization to known waveform type disturbances and measurement uncertainties is pointed out and an example is included for illustrative purposes
Keywords :
asymptotic stability; nonlinear systems; observers; robust control; state estimation; uncertain systems; globally asymptotically convergent observation error; measurement uncertainties; nonlinear gains; nonlinear systems; robust adaptive observer; state reconstruction; waveform type disturbances; Adaptive estimation; Convergence; Error correction; Measurement uncertainty; Minimax techniques; Nonlinear systems; Observers; Robustness; State feedback; Symmetric matrices;
Conference_Titel :
System Theory, 1996., Proceedings of the Twenty-Eighth Southeastern Symposium on
Conference_Location :
Baton Rouge, LA
Print_ISBN :
0-8186-7352-4
DOI :
10.1109/SSST.1996.493476
