Optimal filtering for systems governed by coupled ordinary and partial differential equations

Optimal filtering for systems governed by coupled ordinary and partial differential equations

<p>The recursive estimation of states or parameters of stochastic dynamical systems with partial and imperfect measurements is generally referred to as filtering. The estimator itself is called the filter. In this dissertation optimal filters are derived for three important classes of nonlinea...

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Bibliographic Details
Main Author: Yu, Thomas King Lin
Format: Others
Published: 1973
Online Access:https://thesis.library.caltech.edu/10534/1/Yu_tkl_1973.pdf
Yu, Thomas King Lin (1973) Optimal filtering for systems governed by coupled ordinary and partial differential equations. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/C7W5-8C39. https://resolver.caltech.edu/CaltechTHESIS:10202017-140716441 <https://resolver.caltech.edu/CaltechTHESIS:10202017-140716441>

Internet

https://thesis.library.caltech.edu/10534/1/Yu_tkl_1973.pdf
Yu, Thomas King Lin (1973) Optimal filtering for systems governed by coupled ordinary and partial differential equations. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/C7W5-8C39. https://resolver.caltech.edu/CaltechTHESIS:10202017-140716441 <https://resolver.caltech.edu/CaltechTHESIS:10202017-140716441>

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