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Interval Observers for Hybrid Dynamical Systems with Known Jump Times

  • Tarun Pati
  • , Mohammad Khajenejad
  • , Sai Praveen Daddala
  • , Ricardo G. Sanfelice
  • , Sze Zheng Yong

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper proposes a novel asymptotically stable interval estimator design for hybrid systems with nonlinear dynamics and observations under the assumption of known jump times. The proposed architecture leverages the concepts of mixed-monotone decompositions to construct a hybrid interval observer that is guaranteed to frame the true states (i.e., is correct) by construction. Moreover, using Lyapunov analysis and the positive system property of the framer error dynamics, we propose two approaches for computing the observer gains to achieve asymptotic stability of the error system based on mixed-integer semidefinite and linear programs. Further, our observer design incorporates additional degrees of freedom that may provide some advantages similar to coordinate transformations. Finally, we demonstrate the efficacy of the proposed hybrid observer design using two illustrative examples.

Original languageEnglish (US)
Title of host publication2023 62nd IEEE Conference on Decision and Control, CDC 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages7507-7513
Number of pages7
ISBN (Electronic)9798350301243
DOIs
StatePublished - 2023
Externally publishedYes
Event62nd IEEE Conference on Decision and Control, CDC 2023 - Singapore, Singapore
Duration: Dec 13 2023Dec 15 2023

Publication series

NameProceedings of the IEEE Conference on Decision and Control

Conference

Conference62nd IEEE Conference on Decision and Control, CDC 2023
Country/TerritorySingapore
CitySingapore
Period12/13/2312/15/23

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Modeling and Simulation
  • Control and Optimization

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