DocumentCode
1716879
Title
Iterative weighted least-squares approach to constrained LQ predictive control
Author
Chisci, L. ; Rossiter, J.A.
Author_Institution
Dept. of Syst. & Inf., Florence Univ., Italy
Volume
2
fYear
1998
Firstpage
1145
Abstract
In this paper linear quadratic control of systems subject to input and/or state constraints, is considered. The solution to the corresponding quadratic programming problem is based on the so called mixed weights least-squares method. It is shown that, like in the unconstrained case, dynamic programming can be used in order to considerably alleviate the computational burden
Keywords
MIMO systems; discrete time systems; dynamic programming; iterative methods; least squares approximations; linear quadratic control; predictive control; quadratic programming; state-space methods; MIMO systems; discrete time systems; dynamic programming; iterative method; least-squares; linear quadratic control; predictive control; quadratic programming; state constraints; state space; Chemical processes; Control design; Control systems; Iterative methods; Least squares methods; Linear feedback control systems; Mathematical programming; Predictive control; Quadratic programming; Sampling methods;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Applications, 1998. Proceedings of the 1998 IEEE International Conference on
Conference_Location
Trieste
Print_ISBN
0-7803-4104-X
Type
conf
DOI
10.1109/CCA.1998.721636
Filename
721636
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