DocumentCode
313790
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
Volume
5
fYear
1997
fDate
4-6 Jun 1997
Firstpage
2945
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;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 1997. Proceedings of the 1997
Conference_Location
Albuquerque, NM
ISSN
0743-1619
Print_ISBN
0-7803-3832-4
Type
conf
DOI
10.1109/ACC.1997.611997
Filename
611997
Link To Document