Title :
The self-tuning of stochastic adaptive pole placement controllers
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., California Univ., Berkeley, CA, USA
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;
Conference_Titel :
Decision and Control, 1993., Proceedings of the 32nd IEEE Conference on
Conference_Location :
San Antonio, TX
Print_ISBN :
0-7803-1298-8
DOI :
10.1109/CDC.1993.325453