Title :
Some results for the identification and adaptive control of stochastic linear and semilinear systems
Author :
Chen, H.F. ; Duncan, T.E. ; Pasik-Duncan, B.
Author_Institution :
Inst. of Syst. Sci., Acad. Sinica, Beijing, China
Abstract :
For the identification and the adaptive control of a linear stochastic system it is assumed that there is an unknown ideal system or an unknown ideal set point for the system. A system is constructed based on a family of parameter estimates and an algorithm is given for it. For the adaptive control, this system is required to track a known function where an ergodic, quadratic cost functional is used. An algorithm is given for the identification of an unknown ideal semilinear system
Keywords :
adaptive control; bilinear systems; control system analysis; identification; linear systems; stochastic systems; adaptive control; identification; linear stochastic system; parameter estimation; semilinear system; Adaptive control; Continuous time systems; Control systems; Cost function; Discrete time systems; H infinity control; Mathematics; Parameter estimation; Sampling methods; Stochastic systems;
Conference_Titel :
American Control Conference, Proceedings of the 1995
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-2445-5
DOI :
10.1109/ACC.1995.531243
