Welcome to the new version of CaltechAUTHORS. Login is currently restricted to library staff. If you notice any issues, please email coda@library.caltech.edu
Published 1984 | Published
Journal Article Open

Brief survey of approaches to deriving the optimal linear distributed parameter filter


This survey paper reviews the approaches to deriving the optimal filter for linear distributed parameter systems. We discuss the five main approaches: the orthogonal projection or Wiener-Hopf theory, the least squares method, the innovation theory, the maximum likelihood method, and the Bayesian theory. We also consider the optimal sensor location problem for distributed parameter systems, one closely related to the optimal filtering problem.

Additional Information

© 1984 Elsevier.

Attached Files

Published - JHS174.pdf


Files (470.4 kB)
Name Size Download all
470.4 kB Preview Download

Additional details

August 22, 2023
October 16, 2023