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Delay-dependent and delay-independent energy-to-peak model approximation for systems with time-varying delay

  • Qing Wang
  • , James Lam
  • , Shengyuan Xu
  • , Huijun Gao
  • The University of Hong Kong
  • City University of Hong Kong
  • Northeastern University
  • Huazhong University of Science and Technology
  • South China University of Technology
  • Shandong University
  • Institute of Mathematics and Its Applications
  • Institute of Electrical and Electronics Engineers
  • Institution of Electrical Engineers
  • Nanjing University of Science and Technology
  • Harbin Institute of Technology

Research output: Contribution to journalArticlepeer-review

34 Citations (Scopus)

Abstract

This paper deals with the problem of computing an approximation system for a given system with time-varying delay such that the energy-to-peak gain of the error system is less than a prescribed scalar. First, a delay-dependent boundedness condition of energy-to-peak gain is given in terms of linear matrix inequalities (LMIs), which recovers the delay-independent case. Then, based on the established delay-dependent boundedness condition of energy-to-peak gain, a sufficient condition to characterize the approximation system is obtained to solve the energy-to-peak model approximation problem in the form of LMIs with inverse constraints. A number of delay-independent energy-to-peak model approximation cases are special cases of a delay-dependent approximation. An efficient algorithm is derived to obtain the approximation models. Finally, examples are employed to demonstrate the effectiveness of the model approximation algorithm.

Original languageEnglish
Pages (from-to)445-460
Number of pages16
JournalInternational Journal of Systems Science
Volume36
Issue number8
DOIs
Publication statusPublished - 20 Jun 2005
Externally publishedYes

Keywords

  • Energy-to-peak gain
  • Model approximation
  • Time-varying delay

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Theoretical Computer Science
  • Computer Science Applications

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