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
Link To Document :
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