Title :
Global adaptive observers for nonlinear systems via filtered transformations
Author :
Marino, Riccardo ; Tomei, Patrizio
Author_Institution :
Dipartimento di Ingegneria Elettronica, Roma Univ., Italy
fDate :
8/1/1992 12:00:00 AM
Abstract :
The problem of determining global adaptive observers for a class of single-output nonlinear systems which are linear with respect to an unknown constant parameter vector is addressed. Sufficient conditions are given to observe asymptotically an equivalent state without persistency of excitation. Under additional geometric conditions the original state can be observed as well. The results obtained are based on a nonlinear change of coordinates driven by auxiliary filters (filtered transformations)
Keywords :
adaptive systems; filtering and prediction theory; nonlinear systems; state estimation; asymptotic observation; auxiliary filters; filtered transformations; global adaptive observers; single-output nonlinear systems; unknown constant parameter vector; Adaptive filters; Control systems; Control theory; Nonlinear control systems; Nonlinear systems; Observability; Robust stability; Stability analysis; Uncertainty; Vectors;
Journal_Title :
Automatic Control, IEEE Transactions on