DECENTRALIZED FIXED-INTERVAL SMOOTHING ALGORITHMS.

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

The Weineret-Desai smoother formula is applied to derive new decentralized fixed-interval smoothing algorithms for a decentralized estimation structure consisting of a central processor and of M local processor. Such algorithms are based on decentralizing the estimates of global backward information filter and obtained from the use of the superposition principle in scattering framework. The smoothing update problem is also investigated to illustrate the application of the proposed algorithms. The emphasis is on computational efficiency, independence of local a priori statistics, and flexibility of implementation.

Original languageEnglish
Pages (from-to)86-89
Number of pages4
JournalJournal of Dynamic Systems, Measurement and Control, Transactions of the ASME
Volume108
Issue number1
Publication statusPublished - Mar 1986
Externally publishedYes

Fingerprint

smoothing
intervals
central processing units
Computational efficiency
flexibility
Statistics
statistics
Scattering
filters
estimates
scattering

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Instrumentation

Cite this

DECENTRALIZED FIXED-INTERVAL SMOOTHING ALGORITHMS. / Watanabe, Keigo.

In: Journal of Dynamic Systems, Measurement and Control, Transactions of the ASME, Vol. 108, No. 1, 03.1986, p. 86-89.

Research output: Contribution to journalArticle

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