Title :
Stable min-max control for state-space systems with bounded input matrix
Author :
Lee, Jay H. ; Cooley, Brian L.
Author_Institution :
Dept. of Chem. Eng., Auburn Univ., AL, USA
Abstract :
Min-max predictive control of state-space systems with bounded input matrix is studied based on a quadratic performance criterion. Both stable and integrating system dynamics as well as time-varying and time-invariant parameter cases are treated. Algorithms that are computationally manageable and ensure closed-loop stability are presented
Keywords :
closed loop systems; computational complexity; matrix algebra; maximum principle; minimax techniques; performance index; predictive control; stability; state-space methods; bounded input matrix; closed-loop stability; computationally manageable algorithms; integrating system dynamics; min-max predictive control; quadratic performance criterion; stable min-max control; stable system dynamics; state-space systems; time-invariant parameters; time-varying parameters; Adaptive control; Chemical engineering; Control systems; Costs; Eigenvalues and eigenfunctions; Feedback; Open loop systems; Predictive control; Robust stability; Size control;
Conference_Titel :
American Control Conference, 1997. Proceedings of the 1997
Conference_Location :
Albuquerque, NM
Print_ISBN :
0-7803-3832-4
DOI :
10.1109/ACC.1997.611997
