Title :
A quadratic programming approach to constrained receding horizon H∞ control
Author_Institution :
Dept. of Control & Instrum., Seoul Nat. Univ. of Technol., South Korea
Abstract :
This work is a modified version of an earlier work, which was based on ellipsoidal type feasible sets [Y.I. Lee and B. Kouvaritakis, 2000]. Unlike the earlier work, polyhedral types of feasible sets are adopted to deal with the input constraints. The use of polyhedral sets enables the formulation of an on-line algorithm in terms of QP (quadratic programming), which can be solved more efficiently than the semi-definite algorithm. A simple numerical example shows that the proposed method yields larger stabilizable sets with larger bounds on disturbances than the earlier approach [Y.I. Lee and B. Kouvaritakis, 2000].
Keywords :
H∞ control; constraint theory; quadratic programming; set theory; constrained receding horizon H∞ control; feasible sets; input constraints; online algorithm; polyhedral sets; quadratic programming; semidefinite algorithm; Control systems; Cost function; Electronic mail; Linear feedback control systems; Output feedback; Quadratic programming; Robust control; Stability; State feedback; Time invariant systems;
Conference_Titel :
American Control Conference, 2003. Proceedings of the 2003
Print_ISBN :
0-7803-7896-2
DOI :
10.1109/ACC.2003.1244084