DocumentCode :
2720712
Title :
Spline-type solution to parameter-dependent LMIs
Author :
Masubuchi, Izumi ; Kume, Ayato ; Shimemura, Etsujiro
Author_Institution :
Dept. of Comput. & Syst. Eng., Kobe Univ., Japan
Volume :
2
fYear :
1998
fDate :
16-18 Dec 1998
Firstpage :
1753
Abstract :
Parameter-dependent quadratic forms (PDQF) play an important role in analysis and synthesis of linear parameter varying (LPV) systems. This paper proposes a method to find a PDQF that meets some criterion written in terms of LMI guaranteeing performances of LPV systems. Through approximation of PDQF with spline functions, we derive finite number of LMI from a given LMI-criterion on a PDQF, which is inherently a condition with infinitely many inequalities. This approximating solution to LMI on a PDQF is proved to have the following properties: (1) any solution to the derived LMI of finite number always produces a PDQF satisfying the original LMI-criterion, and (2) the finite LMI-condition always holds with sufficiently fine division of the parameter´s region if the original one is solvable. Thus the results of this paper enable to solve parameter-dependent LMI associated with PDQF without conservatism
Keywords :
control system analysis; control system synthesis; matrix algebra; splines (mathematics); LPV systems; PDQF; PDQF approximation; finite LMI-condition; linear matrix inequalities; linear parameter varying system synthesis; linear parameter varying systems analysis; parameter-dependent LMI; parameter-dependent quadratic forms; spline-type solution; Concrete; Control design; Finite element methods; Information science; Linear matrix inequalities; Lyapunov method; Performance gain; Spline; Stability criteria;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 1998. Proceedings of the 37th IEEE Conference on
Conference_Location :
Tampa, FL
ISSN :
0191-2216
Print_ISBN :
0-7803-4394-8
Type :
conf
DOI :
10.1109/CDC.1998.758549
Filename :
758549
Link To Document :
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