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Optimal ℓ2-ℓ filtering for Markovian jump repeated scalar nonlinear systems

  • Zhong Zheng
  • , Zhongrui Hu
  • , Fanbiao Li
  • , Ligang Wu*
  • *Corresponding author for this work
  • Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This work studies the optimal ℓ2-ℓ filter design problem for discrete-time Markovian jump repeated scalar nonlinear systems. The design focus is full- and reduced-order filters which guarantee the filtering error system to be stochastically stable with a prescribed weighted ℓ2-ℓ performance. Firstly, both the mode dependent Lyapunov function approach and the positive definite diagonally dominant Lyapunov function technique are employed to establish a sufficient condition that guarantees the Markovian jump repeated scalar nonlinear system to be stochastically stable with an induced ℓ2-ℓ disturbance attenuation performance. Secondly, the corresponding full-order filter design is transformed into a convex optimization problem, which can be efficiently handled using standard numerical algorithms. Finally, a numerical example is presented to show the effectiveness of the proposed design.

Original languageEnglish
Title of host publicationProceedings - 2014 IEEE 23rd International Symposium on Industrial Electronics, ISIE 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2329-2334
Number of pages6
ISBN (Print)9781479923991
DOIs
StatePublished - 2014
Event2014 IEEE 23rd International Symposium on Industrial Electronics, ISIE 2014 - Istanbul, Turkey
Duration: 1 Jun 20144 Jun 2014

Publication series

NameIEEE International Symposium on Industrial Electronics

Conference

Conference2014 IEEE 23rd International Symposium on Industrial Electronics, ISIE 2014
Country/TerritoryTurkey
CityIstanbul
Period1/06/144/06/14

Keywords

  • Markovian jump systems
  • diagonally dominant matrix
  • filtering
  • repeated scalar nonlinearity

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