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On state estimation for distributed parameter systems

✍ Scribed by J.S. Meditch

Publisher
Elsevier Science
Year
1970
Tongue
English
Weight
647 KB
Volume
290
Category
Article
ISSN
0016-0032

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✦ Synopsis

Ekquential algorithms for prediction, jiltering and smoothing are developed for a class of linear distributed-parameter system. The class of systems concerned is that involving noisy measurement data which are obtained frovn "averaging" and "scanner''-type sensors. Tk basic tools of the development are the least-squares estimation viewpoint, the calculus of variations and the sweep ,method for two-point boundamy-value problems. An example involving the heat equation is presented to i&&rate the results.

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