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Model reduction of A class of Markov jump nonlinear systems with time-varying delays via projection approach

  • School of Astronautics, Harbin Institute of Technology
  • University of Michigan, Ann Arbor
  • King Abdulaziz University

Research output: Contribution to journalArticlepeer-review

Abstract

In this paper, the problem of H model reduction for a class of discrete-time Markov jump nonlinear systems with time-varying delays is investigated. Based on the Lyapunov-Krasovskii functional method, sufficient stability conditions in terms of strict LMIs are derived for the model error system. Projection approach is employed to construct a reduced-order model such that the model error system is asymptotically stable and preserves a guaranteed H performance. A numerical example is presented to illustrate the effectiveness of the developed theoretical results and to make comparisons among systems with different structures and parameters.

Original languageEnglish
Pages (from-to)436-446
Number of pages11
JournalNeurocomputing
Volume166
DOIs
StatePublished - 20 Oct 2015

Keywords

  • H model reduction
  • Markov jump systems
  • Nonlinear systems
  • Projection approach
  • Takagi-Sugeno (T-S) fuzzy systems
  • Time-varying delays

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