Title :
Minimax LQ stochastic tracking and disturbance rejection problems
Author :
Mosca, E. ; Giarre, L.
Author_Institution :
Dept. of Syst. Inf., Florence Univ., Italy
Abstract :
An input/output approach to the minimax linear-quadratic (LQ) stochastic tracking and disturbance rejection problems is dealt with. The solution exhibits a separation property in that the corresponding two-degree-of-freedom controller is made up of a feedback part solving the underlying H∞ mixed sensitivity problem and a feedforward part that can be evaluated independently. The solution is based on the knowledge of the reference and accessible disturbance realizations with a lead or a delay of τ or σ steps, respectively. If both τ and σ are positive and large enough, the feedforward input can be tightly approximated without requiring any stochastic modeling of the reference and the accessible disturbance
Keywords :
feedback; optimal control; sensitivity; stability; H∞ mixed sensitivity problem; disturbance rejection; feedback; feedforward; minimax linear quadratic stochastic tracking; optimal control; separation property; stability; two-degree-of-freedom controller; Costs; Educational institutions; Equations; Feedback; Minimax techniques; Polynomials; Stochastic processes; Vectors;
Conference_Titel :
Decision and Control, 1989., Proceedings of the 28th IEEE Conference on
Conference_Location :
Tampa, FL
DOI :
10.1109/CDC.1989.70392