Decentralized two-filter smoothing algorithms in discrete-time systems

Keigo Watanabe

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)


We develop some decentralized fixed-interval smoothing algorithms which are realized by the two-filter form in linear discrete-time systems, where the decentralized estimation structure consists of a central processor and of two local processors. Two approaches based on local filtering and local smoothing are considered for solving the problems of decentralized smoothing, smoothing update, and real-time smoothing. It is then shown that the notion of decentralized Kalman filtering plays a significant role in the derivation of the algorithms for the former approach, and that the introduction of the Hamiltonian system in discrete-time immediately gives the solutions of the problems in the latter approach. Moreover, some characteristics of the algorithms arising from each approach are also discussed.

Original languageEnglish
Pages (from-to)49-63
Number of pages15
JournalInternational Journal of Control
Issue number1
Publication statusPublished - Jul 1986
Externally publishedYes

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications


Dive into the research topics of 'Decentralized two-filter smoothing algorithms in discrete-time systems'. Together they form a unique fingerprint.

Cite this