Title :
LQ state-constrained control
Author_Institution :
Kramers Lab., Delft, Netherlands
Abstract :
Can a discrete-time, linear system be controlled so that if the initial state x(0) is nonnegative the state x(k) will remain nonnegative for all future k, while at the same time a quadratic cost criterion is minimized? It is known that the nondiagonal elements of the transformed weighting matrices of a finite-horizon cost criterion can be chosen to give a closed-loop matrix which contains no negative elements. The controllable block companion transformation which has to be used must be positive. Here this restrictive condition is removed, allowing the method to be applied to more general systems. The infinite-horizon problem is also solved. Examples are given to demonstrate the method
Keywords :
closed loop systems; control system CAD; discrete time systems; linear systems; matrix algebra; optimal control; optimisation; LQ state-constrained control; closed-loop matrix; controllable block companion transformation; discrete-time linear system; finite-horizon cost criterion; infinite-horizon problem; nondiagonal elements; quadratic cost criterion; transformed weighting matrices; Constraint optimization; Control systems; Costs; Electrical equipment industry; Feedback control; Laboratories; Linear systems; Open loop systems; Optimal control; Robust stability;
Conference_Titel :
Computer-Aided Control System Design, 1994. Proceedings., IEEE/IFAC Joint Symposium on
Conference_Location :
Tucson, AZ
Print_ISBN :
0-7803-1800-5
DOI :
10.1109/CACSD.1994.288896