Fundamental study on periodically time-varying state-space digital filters -Statistical analysis, scaling and stability-

Masayuki Kawamata, Xuedong Yang, Tatsuo Higuchi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

This paper gives statistical analysis, scaling and stability of Periodically Time-Varying (PTV) state-space digital filters. We investigate the variance of states and output to a white Gaussian input in statistical analysis, evaluate the periodical transformation matrices T(i) for l2 scaling in scaling, and discuss the bounded input bounded output and asymptotic stability in stability analysis. In this paper, to make statistical analysis easy, we transform PTV digital filters to Multi Input Multi Output (MIMO) time invariant digital filters because statistical analysis of the time-invariant digital filters is given easily.

Original languageEnglish
Title of host publicationProceedings of the IEEE International Conference on Systems Engineering
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages348-351
Number of pages4
ISBN (Electronic)0780307348, 9780780307346
DOIs
Publication statusPublished - 1992 Jan 1
Event1992 IEEE International Conference on Systems Engineering - Kobe, Japan
Duration: 1992 Sep 171992 Sep 19

Publication series

NameProceedings of the IEEE International Conference on Systems Engineering

Conference

Conference1992 IEEE International Conference on Systems Engineering
Country/TerritoryJapan
CityKobe
Period92/9/1792/9/19

ASJC Scopus subject areas

  • Fluid Flow and Transfer Processes
  • Signal Processing
  • Computational Mechanics
  • Industrial and Manufacturing Engineering
  • Control and Systems Engineering
  • Mechanical Engineering
  • Computational Mathematics
  • Control and Optimization

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