Digital redesign of uncertain interval systems based on time-response resemblance via particle swarm optimization

Chen Chien Hsu*, Geng Yu Lin

*Corresponding author for this work

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

Abstract

In this paper, a novel design approach based on time-response resemblance of the closed-loop system via particle swarm optimization is proposed to improve performance of the redesigned digital system for continuous-time uncertain interval systems. The design rationale of the proposed approach is to derive a digital controller for the redesigned digital system so that step response sequences corresponding to the extremal sequence energy closely match those of their continuous counterpart under the perturbation of the plant parameters. By suitably formulating the design problem as an optimization problem, an evolution framework incorporating three PSOs(particle swarm optimizations) is presented to derive a set of optimal parameters for the digital controller. Computer simulations have shown that time responses of the redesigned digital system having an interval plant have a better resemblance to their continuous-time counter part in comparison those obtained using existing open-loopdiscretization methods.

Original languageEnglish
Title of host publicationSMCia/08 - Proceedings of the 2008 IEEE Conference on Soft Computing on Industrial Applications
Pages32-37
Number of pages6
DOIs
Publication statusPublished - 2008
Externally publishedYes
Event2008 IEEE Conference on Soft Computing on Industrial Applications, SMCia/08 - Muroran, Japan
Duration: 2008 Jun 252008 Jun 27

Publication series

NameSMCia/08 - Proceedings of the 2008 IEEE Conference on Soft Computing on Industrial Applications

Other

Other2008 IEEE Conference on Soft Computing on Industrial Applications, SMCia/08
Country/TerritoryJapan
CityMuroran
Period2008/06/252008/06/27

Keywords

  • Digital redesign
  • Interval plants
  • ISE
  • Particle swarm optimization
  • Sequence energy
  • Signal energy
  • Time response
  • Uncertain systems

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Software
  • Industrial and Manufacturing Engineering

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