DocumentCode
3285772
Title
Internal quadratic invariance and decentralized control
Author
Lessard, L. ; Lall, S.
Author_Institution
Dept. of Aeronaut. & Astronaut., Stanford Univ., Stanford, CA, USA
fYear
2010
fDate
June 30 2010-July 2 2010
Firstpage
5596
Lastpage
5601
Abstract
For decentralized control systems with quadratically invariant information constraints, the set of achievable closed-loop maps is affine, and thus the associated minimum-norm controller synthesis problem is amenable to a convex programming approach. In this paper, we show that a strictly broader class of problems we call internally quadratically invariant, also yields an affine set of achievable closed-loop maps. We treat systems represented by rational as well as proper rational transfer functions and present an illustrative example.
Keywords
closed loop systems; control system synthesis; convex programming; decentralised control; transfer functions; closed-loop maps; convex programming; decentralized control; internal quadratic invariance control; internally quadratically invariant; minimum-norm controller synthesis; quadratically invariant information constraint; rational transfer function; Centralized control; Control system synthesis; Control systems; Distributed control; Optimal control; Q measurement; Quadratic programming; Routing; Subspace constraints; Transfer functions;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference (ACC), 2010
Conference_Location
Baltimore, MD
ISSN
0743-1619
Print_ISBN
978-1-4244-7426-4
Type
conf
DOI
10.1109/ACC.2010.5531024
Filename
5531024
Link To Document