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Finite Time Observer Design by Probabilistic-Variational Methods

Authors: Matthew R. James;

Finite Time Observer Design by Probabilistic-Variational Methods

Abstract

A notion of finite time observer for partially observed deterministic control systems is introduced; it is shown how such observers are obtained by probabilistic-variational methods. Observability plays an essential role. The procedure is carried out for finite-state discrete-time systems and continuous-time nonlinear systems, and the observers obtained are respectively finite and infinite dimensional. A simple algorithm implementing the observer for finite-state systems is described. An observability grammian for nonlinear systems is introduced and is used to study the time evolution of sets of indistinguishable points, as well as local properties of the function satisfying the observer equation. Finally, the results are specialized to bilinear systems.

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
14
Top 10%
Top 1%
Average
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