NDLI: Spectral factorization of non-classical information structures under feedback

Content Provider	IEEE Xplore Digital Library
Author	Swigart, J. Lall, S.
Copyright Year	2009
Description	Author affiliation: Department of Electrical Engineering and Department of Aeronautics and Astronautics, Stanford University, CA 94305, USA (Lall, S.) \|\| Department of Aeronautics and Astronautics, Stanford University, CA 94305, USA (Swigart, J.)
Abstract	We consider linear systems under feedback. We restrict our attention to non-classical information structures for which the optimal control policies can be found via a convex optimization problem. The first step to analytically solving such control problems is performing a spectral factorization to solve the optimality condition. In this paper we discuss two classes of information structures, for which such spectral factorizations can be found. In the first structure, the only constraint is that the controller can remember previous inputs that it has received. In the second structure, we consider a controller which is allowed to forget previous observations.
Starting Page	457
Ending Page	462
File Size	1088333
Page Count	6
File Format	PDF
ISBN	9781424445233
ISSN	07431619
DOI	10.1109/ACC.2009.5160614
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-06-10
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	American Automatic Control Council(AACC)
Subject Keyword	Optimal control Distributed control Control systems Centralized control Linear feedback control systems Linear systems Performance analysis Statistics Cost function Gaussian noise
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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