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
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;
Conference_Titel :
Decision and Control, 2002, Proceedings of the 41st IEEE Conference on
Print_ISBN :
0-7803-7516-5
DOI :
10.1109/CDC.2002.1184854