Optimal digital tracker for analog neutral multiple time-delay systems via evolutionary programming and high gain approach

Jason S.H. Tsai, Tzong Jiy Tsai, Shu Mei Guo

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

Abstract

The optimal hybrid tracking control problem for analog neutral systems with multiple discrete and distributed time delays is discussed in this paper. In order to obtain good tracking performance and improve the drawback of conventional optimal control in selecting the weighting matrices, the observer with evolutionary-programming (EP)-based alternative digital redesign control technique is presented to find a low-gain digital tracker for hybrid control of the analog neutral system. A novel approach that combining the EP method and the high-gain property is proposed to search the optimal weighting matrices in the performance index to achieve the "best" tracking control for analog neutral systems for the first time. Finally, a numerical example is given to illustrate the proposed methods.

Original languageEnglish
Title of host publication2007 IEEE International Conference on Control and Automation, ICCA
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3040-3045
Number of pages6
ISBN (Print)1424408180, 9781424408184
DOIs
Publication statusPublished - 2007 Jan 1
Event2007 IEEE International Conference on Control and Automation, ICCA - Guangzhou, China
Duration: 2007 May 302007 Jun 1

Publication series

Name2007 IEEE International Conference on Control and Automation, ICCA

Other

Other2007 IEEE International Conference on Control and Automation, ICCA
Country/TerritoryChina
CityGuangzhou
Period07-05-3007-06-01

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Optimal digital tracker for analog neutral multiple time-delay systems via evolutionary programming and high gain approach'. Together they form a unique fingerprint.

Cite this