Reachable Region-Based Filtering of Markov Jump Piecewise-Affine Systems With Bounded Disturbance

Zepeng Ning, Zeyuan Xu, Jun Song, Choon Ki Ahn

Research output: Contribution to journalArticlepeer-review


This article develops a new filtering strategy for discrete-time Markov jump nonlinear systems approximated via a piecewise-affine (PWA) model. Motivated by the existence of certain partitioned regions that the system state cannot enter within one time step, an algorithm for calculating the reachable target regions for the system state is provided from the currently located region by allowing for bounded disturbance. Then, we analyze the stochastic stability with a desired disturbance-attenuation performance index for the resulting filtering error system (FES) by eliminating all the unreachable regions from target regions at the next time step. In contrast to traditional methods regardless of their unreachable regions, our results can reduce both the computational burden and the conservativeness of the analysis results. In addition, a PWA filter is designed, which excludes all the impossible target regions, such that the FES is stochastically stable, satisfying disturbance-attenuation performance with a lighter computational burden. The validity and advantages of our proposed filtering strategy are verified via a tunnel diode circuit.

Original languageEnglish
Pages (from-to)3439-3449
Number of pages11
JournalIEEE Transactions on Systems, Man, and Cybernetics: Systems
Issue number6
Publication statusPublished - 2024 Jun 1

Bibliographical note

Publisher Copyright:
© 2013 IEEE.


  • Bounded disturbance
  • Markov jump piecewise-affine (MJPWA) systems
  • piecewise-affine (PWA) filtering
  • reachable target regions

ASJC Scopus subject areas

  • Software
  • Control and Systems Engineering
  • Human-Computer Interaction
  • Computer Science Applications
  • Electrical and Electronic Engineering


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