DocumentCode :
306663
Title :
Discrete-time constrained quadratic control of Markovian jump linear systems
Author :
Costa, Oswaldo L V ; Filho, E.O.A.
Author_Institution :
Escola Politecnica, Sao Paulo Univ., Brazil
Volume :
2
fYear :
1996
fDate :
11-13 Dec 1996
Firstpage :
1763
Abstract :
This paper considers the quadratic optimal control problem of a discrete-time Markovian jump linear system, subject to constrains on the control and output variables. It is desired to find a state feedback controller, which may also depend on the jump variable, that minimizes a quadratic cost and satisfies the control and output constrains. The transition probability and initial condition may belong to appropriate convex sets. A solution of this problem is obtained in terms of LMI, so that convex programming can be used for numerical calculations
Keywords :
Markov processes; convex programming; discrete time systems; linear quadratic control; linear systems; matrix algebra; minimisation; nonlinear programming; state feedback; stochastic systems; LMI; Markovian jump linear systems; convex programming; discrete-time constrained quadratic control; linear matrix inequalities; state feedback controller; transition probability; Control systems; Costs; Integrated circuit modeling; Linear systems; Optimal control; Quadratic programming; State feedback; Stochastic systems; Uncertain systems; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 1996., Proceedings of the 35th IEEE Conference on
Conference_Location :
Kobe
ISSN :
0191-2216
Print_ISBN :
0-7803-3590-2
Type :
conf
DOI :
10.1109/CDC.1996.572818
Filename :
572818
Link To Document :
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