DocumentCode
2383069
Title
Belief propagation in feedback systems: Connections to bode and observability
Author
Yu, Sun ; Mehta, Prashant G. ; Meyn, Sean
Author_Institution
Dept. of Mech. Sci. & Eng., Univ. of Illinois at Urbana-Champaign, Urbana, IL
fYear
2008
fDate
11-13 June 2008
Firstpage
1268
Lastpage
1273
Abstract
This paper is concerned with uncertainty based characterizations of fundamental performance limitations (Bode formula) and input-output properties (observability) in feedback systems. A hidden Markov model (HMM) formulation is introduced, based on which a belief process (conditional pdf) is defined. The belief process expresses uncertainty in the state conditioned on history of noisy observations. Both the Bode formula and observability are related to the asymptotic dynamics of the belief process. These results are described for the case of Gaussian linear systems and for open-loop nonlinear systems with negative Lyapunov exponents.
Keywords
Bode diagrams; Gaussian processes; Lyapunov methods; belief networks; feedback; hidden Markov models; linear systems; nonlinear control systems; observability; open loop systems; Bode formula; Gaussian linear systems; Lyapunov exponents; belief propagation; feedback systems; hidden Markov model; observability; open-loop nonlinear system; Belief propagation; Communication system control; Entropy; Feedback; Hidden Markov models; History; Nonlinear systems; Observability; Open loop systems; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 2008
Conference_Location
Seattle, WA
ISSN
0743-1619
Print_ISBN
978-1-4244-2078-0
Electronic_ISBN
0743-1619
Type
conf
DOI
10.1109/ACC.2008.4586667
Filename
4586667
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