Digital modelling and robust digital redesign of sampled-data uncertain systems via the interval tuning bilinear approximation method

Jason S.H. Tsai, Cheng S. Shieh, York Y. Sun

Research output: Contribution to journalArticlepeer-review

9 Citations (Scopus)

Abstract

Based on the bilinear approximation method, we present an interval tuning bilinear approximation method to do the digital model conversion and digital redesign of sampled-data uncertain systems. The tuning bilinear method together with interval arithmetic operation is employed to obtain the approximate discrete-time model and the digital robust control law from the continuous-time uncertain state equation and the given continuous-time robust control law, respectively. The proposed digitally tuning redesigned control law with one parameter can be adjusted so that the resulting dynamic states of the digitally controlled sampled-data uncertain system are able to closely match those of the original continuous-time well-designed uncertain system for a relatively longer sampling period.

Original languageEnglish
Pages (from-to)615-630
Number of pages16
JournalJournal of the Franklin Institute
Volume338
Issue number5
DOIs
Publication statusPublished - 2001 Aug 1

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Signal Processing
  • Computer Networks and Communications
  • Applied Mathematics

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