DocumentCode
1953144
Title
The matrix product eigenvalues problem - global optimization for the spectral radius of a matrix product under convex constraints
Author
Yamada, Yuji ; Hara, Shinji
Author_Institution
Dept. of Comput. Intelligence & Syst. Sci., Tokyo Inst. of Technol., Japan
Volume
5
fYear
1997
fDate
10-12 Dec 1997
Firstpage
4926
Abstract
This paper defines a certain class of nonconvex optimization problems for robust control synthesis called the matrix product eigenvalues problem (MPEP), and minimizes the spectral radius of the product of two block-diagonal positive definite symmetric matrices under convex constraints. Many fixed order controller synthesis problems including performance and robustness specifications can be formulated as the MPEP. The purpose of this paper is to provide an algorithm to find a sub-optimal solution with any specified small tolerance from the globally optimal solution for the MPEP
Keywords
control system synthesis; discrete time systems; eigenvalues and eigenfunctions; feedback; iterative methods; matrix algebra; optimisation; robust control; suboptimal control; block-diagonal matrix; convex constraints; discrete time systems; fixed order controller; global optimization; iterative methods; matrix product eigenvalues problem; output feedback; robust control; robustness; spectral radius; suboptimal control; Constraint optimization; Control system synthesis; Eigenvalues and eigenfunctions; Output feedback; Robust control; Symmetric matrices;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 1997., Proceedings of the 36th IEEE Conference on
Conference_Location
San Diego, CA
ISSN
0191-2216
Print_ISBN
0-7803-4187-2
Type
conf
DOI
10.1109/CDC.1997.649822
Filename
649822
Link To Document