Title :
Internal quadratic invariance and decentralized control
Author :
Lessard, L. ; Lall, S.
Author_Institution :
Dept. of Aeronaut. & Astronaut., Stanford Univ., Stanford, CA, USA
fDate :
June 30 2010-July 2 2010
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;
Conference_Titel :
American Control Conference (ACC), 2010
Conference_Location :
Baltimore, MD
Print_ISBN :
978-1-4244-7426-4
DOI :
10.1109/ACC.2010.5531024