DocumentCode
391342
Title
On persistent excitation for linear systems with stochastic coefficients
Author
Levanony, David ; Caines, Peter E.
Author_Institution
Dept. of Electr. & Comput. Eng., Ben-Gurion Univ., Beer Sheva, Israel
Volume
2
fYear
2002
fDate
10-13 Dec. 2002
Firstpage
2177
Abstract
A Wiener input process is shown to be persistently exciting (PE) for linear stochastic systems with time varying, convergent, random coefficients, provided the asymptotic noise controllability holds. The PE result is in the sense that the minimum eigenvalue of the integrated outer product of the state process is of O(t) (t being the upper time limit of the integral). Application examples are provided.
Keywords
adaptive control; controllability; eigenvalues and eigenfunctions; linear systems; probability; stochastic systems; Wiener process; adaptive control; asymptotic noise; controllability; eigenvalues; linear systems; persistent excitation; probability; stochastic systems; time varying coefficients; Adaptive control; Control systems; Controllability; Eigenvalues and eigenfunctions; Linear systems; Maximum likelihood estimation; Parameter estimation; Stochastic resonance; Stochastic systems; Time varying systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 2002, Proceedings of the 41st IEEE Conference on
ISSN
0191-2216
Print_ISBN
0-7803-7516-5
Type
conf
DOI
10.1109/CDC.2002.1184854
Filename
1184854
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