Zonotope-Based Interval Estimation for 2-D FMLSS Systems Using an Event-Triggered Mechanism

Liu Yang, Zhongyang Fei, Zhenhua Wang, Choon Ki Ahn

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)

Abstract

This study considers the problem of interval estimation for event-triggered 2-D systems in Fornasini-Marchesini local state-space (FMLSS) model. In such systems, the general hypothesis for practical applications is that exogenous disturbances and measurement noise are unknown but bounded. First, an observer design criterion is deduced from the defined zonotopic radius and weighted radius of the FMLSS model. Subsequently, to economize the restricted communication resources, an event-driven data transmission strategy is employed for the observer. Then, a sufficient criterion is established to guarantee the $\mathcal {L}_\infty$ performance for the considered 2-D FMLSS system with the event-triggered scheme. From the obtained observer, the estimation interval of the 2-D system is derived by using the zonotopic state estimation approach. Finally, the validity is confirmed by simulations.

Original languageEnglish
Pages (from-to)1655-1666
Number of pages12
JournalIEEE Transactions on Automatic Control
Volume68
Issue number3
DOIs
Publication statusPublished - 2023 Mar 1

Bibliographical note

Publisher Copyright:
© 1963-2012 IEEE.

Keywords

  • 2-D system event-triggered mechanism
  • Fornasini-Marchesini local state-space (FMLSS) model
  • L∞ performance
  • zonotopic state estimation

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Computer Science Applications

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