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

Chen Chien Hsu, Geng Yu Lin

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

Other

Other2008 IEEE Conference on Soft Computing on Industrial Applications, SMCia/08
CountryJapan
CityMuroran
Period08/6/2508/6/27

Fingerprint

Uncertain systems
Particle swarm optimization (PSO)
Controllers
Step response
Closed loop systems
Computer simulation

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

Cite this

Hsu, C. C., & Lin, G. Y. (2008). Digital redesign of uncertain interval systems based on time-response resemblance via particle swarm optimization. In SMCia/08 - Proceedings of the 2008 IEEE Conference on Soft Computing on Industrial Applications (pp. 32-37). [5045931] https://doi.org/10.1109/SMCIA.2008.5045931

Digital redesign of uncertain interval systems based on time-response resemblance via particle swarm optimization. / Hsu, Chen Chien; Lin, Geng Yu.

SMCia/08 - Proceedings of the 2008 IEEE Conference on Soft Computing on Industrial Applications. 2008. p. 32-37 5045931.

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

Hsu, CC & Lin, GY 2008, Digital redesign of uncertain interval systems based on time-response resemblance via particle swarm optimization. in SMCia/08 - Proceedings of the 2008 IEEE Conference on Soft Computing on Industrial Applications., 5045931, pp. 32-37, 2008 IEEE Conference on Soft Computing on Industrial Applications, SMCia/08, Muroran, Japan, 08/6/25. https://doi.org/10.1109/SMCIA.2008.5045931
Hsu CC, Lin GY. Digital redesign of uncertain interval systems based on time-response resemblance via particle swarm optimization. In SMCia/08 - Proceedings of the 2008 IEEE Conference on Soft Computing on Industrial Applications. 2008. p. 32-37. 5045931 https://doi.org/10.1109/SMCIA.2008.5045931
Hsu, Chen Chien ; Lin, Geng Yu. / Digital redesign of uncertain interval systems based on time-response resemblance via particle swarm optimization. SMCia/08 - Proceedings of the 2008 IEEE Conference on Soft Computing on Industrial Applications. 2008. pp. 32-37
@inproceedings{52e76198991049d8aa70468cb5b9c443,
title = "Digital redesign of uncertain interval systems based on time-response resemblance via particle swarm optimization",
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.",
keywords = "Digital redesign, Interval plants, ISE, Particle swarm optimization, Sequence energy, Signal energy, Time response, Uncertain systems",
author = "Hsu, {Chen Chien} and Lin, {Geng Yu}",
year = "2008",
doi = "10.1109/SMCIA.2008.5045931",
language = "English",
isbn = "9781424437825",
pages = "32--37",
booktitle = "SMCia/08 - Proceedings of the 2008 IEEE Conference on Soft Computing on Industrial Applications",

}

TY - GEN

T1 - Digital redesign of uncertain interval systems based on time-response resemblance via particle swarm optimization

AU - Hsu, Chen Chien

AU - Lin, Geng Yu

PY - 2008

Y1 - 2008

N2 - 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.

AB - 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.

KW - Digital redesign

KW - Interval plants

KW - ISE

KW - Particle swarm optimization

KW - Sequence energy

KW - Signal energy

KW - Time response

KW - Uncertain systems

UR - http://www.scopus.com/inward/record.url?scp=70349280501&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=70349280501&partnerID=8YFLogxK

U2 - 10.1109/SMCIA.2008.5045931

DO - 10.1109/SMCIA.2008.5045931

M3 - Conference contribution

AN - SCOPUS:70349280501

SN - 9781424437825

SP - 32

EP - 37

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

ER -