DocumentCode
2103706
Title
The self-tuning of stochastic adaptive pole placement controllers
Author
Ren, Wei
Author_Institution
Dept. of Electr. Eng. & Comput. Sci., California Univ., Berkeley, CA, USA
fYear
1993
fDate
15-17 Dec 1993
Firstpage
1581
Abstract
Considers the problem of the convergence of adaptive pole placement control for linear stochastic systems. Under the assumption of the controllability of the estimated model, it is found that the adaptive pole placement controller always self-tunes, regardless of external excitation. In addition, the author determines the order of external excitation for parameter consistency. It is shown that for the white noise case the parameter consistency occurs when the order of external excitation is equal to or greater than 2-d, where d is the a priori known lower limit of the plant delay
Keywords
adaptive control; controllability; convergence; linear systems; self-adjusting systems; stochastic systems; white noise; adaptive pole placement control; controllability; convergence; external excitation; linear stochastic systems; parameter consistency; self-tuning; white noise; Adaptive control; Control systems; Controllability; Convergence; Delay; Programmable control; State feedback; Stochastic processes; Stochastic systems; White noise;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 1993., Proceedings of the 32nd IEEE Conference on
Conference_Location
San Antonio, TX
Print_ISBN
0-7803-1298-8
Type
conf
DOI
10.1109/CDC.1993.325453
Filename
325453
Link To Document