DocumentCode :
1123727
Title :
Semidefinite programming duality and linear time-invariant systems
Author :
Balakrishnan, Venkataramanan ; Vandenberghe, Lieven
Author_Institution :
Sch. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN, USA
Volume :
48
Issue :
1
fYear :
2003
fDate :
1/1/2003 12:00:00 AM
Firstpage :
30
Lastpage :
41
Abstract :
Several important problems in control theory can be reformulated as semidefinite programming problems, i.e., minimization of a linear objective subject to linear matrix inequality (LMI) constraints. From convex optimization duality theory, conditions for infeasibility of the LMIs, as well as dual optimization problems, can be formulated. These can in turn be reinterpreted in control or system theoretic terms, often yielding new results or new proofs for existing results from control theory. We explore such connections for a few problems associated with linear time-invariant systems.
Keywords :
convex programming; eigenvalues and eigenfunctions; linear matrix inequalities; linear systems; time-varying systems; convex optimization duality; dual optimization problems; linear matrix inequality constraints; linear time-invariant systems; semidefinite programming duality; system theoretic terms; Application software; Constraint theory; Control system synthesis; Control systems; Control theory; Controllability; Linear matrix inequalities; Linear programming; Qualifications; Riccati equations;
fLanguage :
English
Journal_Title :
Automatic Control, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9286
Type :
jour
DOI :
10.1109/TAC.2002.806652
Filename :
1166522
Link To Document :
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