Robust stabilization of large-scale systems with nonlinear uncertainties via decentralized state feedback

Jun Juh Yan, Jason Sheng Hong Tsai, Fan Chu Kung

Research output: Contribution to journalArticlepeer-review

18 Citations (Scopus)

Abstract

The present paper is concerned with the decentralized stabilization problem for a class of large-scale systems with time-varying interconnected matrices and nonlinear uncertainties. A new sufficient condition is proposed for asymptotically stabilizing the large-scale perturbed systems with a prescribed stability degree by using decentralized state-feedback controllers. All the information needed here is only the possible bounds of the time-varying interconnected matrices and nonlinear uncertainties. This condition is shown to be less conservative than the ones reported recently. The results can be extended to a class of large-scale systems with delays. Two illustrative examples are included to demonstrate the superiority of the obtained results.

Original languageEnglish
Pages (from-to)951-961
Number of pages11
JournalJournal of the Franklin Institute
Volume335
Issue number5
DOIs
Publication statusPublished - 1998 Jul

All Science Journal Classification (ASJC) codes

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

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