Title
It may be “easier to approximate” decentralized infinite-horizon LQG problems
Abstract
We consider scalar decentralized average-cost infinite-horizon LQG problems with two controllers. It is shown that when two controllers are asymmetric, the linear controller performance can be an arbitrary factor worse than the optimal performance. To fix this problem, we propose a set of nonlinear controllers parameterized by only a few variables, and prove that the proposed set contains an approximately optimal solution that achieves within a constant ratio of the optimal cost. This insight is conveyed using bit-oriented deterministic models that elucidate the nature of the ongoing implicit communication that must occur.
Year
DOI
Venue
2012
10.1109/CDC.2012.6425835
CDC
Keywords
Field
DocType
optimal performance,linear quadratic gaussian control,scalar decentralized average-cost infinite-horizon lqg problems,infinite horizon,bit-oriented deterministic models,linear controller performance,decentralised control,optimal cost
Control theory,Mathematical optimization,Parameterized complexity,Nonlinear system,Linear-quadratic-Gaussian control,Control theory,Computer science,Scalar (physics),Optimal projection equations,Infinite horizon,Linear-quadratic regulator
Conference
ISSN
ISBN
Citations 
0743-1546 E-ISBN : 978-1-4673-2064-1
978-1-4673-2064-1
4
PageRank 
References 
Authors
0.45
5
2
Name
Order
Citations
PageRank
Se Yong Park14821.78
A. Sahai21888198.31