Skip to main navigation Skip to search Skip to main content

Zonotopic set-membership state estimation for discrete-time descriptor LPV systems

  • Ye Wang*
  • , Zhenhua Wang
  • , Vicenc Puig
  • , Gabriela Cembrano
  • *Corresponding author for this work
  • Polytechnic University of Catalonia
  • School of Astronautics, Harbin Institute of Technology
  • Cetaqua Barcelona

Research output: Contribution to journalArticlepeer-review

Abstract

This technical note proposes a novel set-membership state estimation approach based on zonotopes for discrete-time descriptor linear parameter-varying systems. The consistency test between the system model and measured outputs is implemented to construct a parameterized intersection zonotope with respect to a correction matrix. With a defined zonotope minimization criterion, we propose a novel offline optimization problem to obtain the optimal correction matrix. In addition, with the proposed approach, an adaptive bound of the radius of the intersection zonotope is also provided. Finally, a case study with a truck-trailer system is shown to illustrate the proposed approach.

Original languageEnglish
Article number8425647
Pages (from-to)2092-2099
Number of pages8
JournalIEEE Transactions on Automatic Control
Volume64
Issue number5
DOIs
StatePublished - May 2019
Externally publishedYes

Keywords

  • Descriptor systems
  • discrete-time linear parameter-varying (LPV) models
  • set-membership approach
  • state estimation
  • zonotopes

Fingerprint

Dive into the research topics of 'Zonotopic set-membership state estimation for discrete-time descriptor LPV systems'. Together they form a unique fingerprint.

Cite this