Title :
Maximally-diagonal solution to the inverse LQR problem
Author :
Aïoun, F. ; Heniche, A. ; Bourlès, H.
Author_Institution :
LURPA, ENS Cachen, France
Abstract :
The inverse LQR problem is solved, using a convex optimization technique. The non-diagonal elements of the state weighting matrix are minimized, as opposed to the approaches existing in the literature. This minimization is very important from practical point of view
Keywords :
inverse problems; linear quadratic control; matrix algebra; minimisation; convex optimization technique; inverse LQR problem; maximally-diagonal solution; minimization; nondiagonal elements; state weighting matrix; Control systems; Inverse problems; Kalman filters; Laplace equations; Neutron spin echo; Regulators; Sufficient conditions; Symmetric matrices; Virtual manufacturing;
Conference_Titel :
Decision and Control, 1994., Proceedings of the 33rd IEEE Conference on
Conference_Location :
Lake Buena Vista, FL
Print_ISBN :
0-7803-1968-0
DOI :
10.1109/CDC.1994.411243
