Title :
A stochastic approach to delay compensation in network-based distributed intelligent control systems
Author :
Ray, Asok ; Liou, Luen W.
Author_Institution :
Dept. of Mech. Eng., Pennsylvania State Univ., University Park, PA, USA
Abstract :
A state estimation and state feedback control law has been formulated in a stochastic setting, based on the principles of minimum variance filtering and dynamic programming, for delay compensation in network-based distributed intelligent control systems. The proposed estimation and control law for delay compensation is essentially an extension of the conventional linear quadratic Gaussian
Keywords :
compensation; delays; distributed control; dynamic programming; feedback; filtering and prediction theory; intelligent control; state estimation; stochastic systems; delay compensation; dynamic programming; linear quadratic Gaussian; minimum variance filtering; network-based distributed intelligent control systems; state estimation; state feedback control; stochastic approach; Automatic control; Control systems; Delay estimation; Dynamic programming; Filtering; Intelligent control; Intelligent networks; Optimal control; Regulators; State estimation; State feedback; Stochastic processes; Stochastic systems;
Conference_Titel :
Decision and Control, 1991., Proceedings of the 30th IEEE Conference on
Conference_Location :
Brighton
Print_ISBN :
0-7803-0450-0
DOI :
10.1109/CDC.1991.261743
