Model Discrimination of Switched Nonlinear Systems with Temporal Logic-Constrained Switching

Ruochen Niu, Syed M. Hassaan, Liren Yang, Zeyuan Jin, Sze Zheng Yong

Research output: Contribution to journalArticlepeer-review

Abstract

This letter considers the model discrimination problem for switched nonlinear systems, where the switching sequence is constrained by metric/signal temporal logic specifications. Specifically, we propose an optimization-based algorithm for analyzing the detectability of the models from noisy, finite data as well as a model discrimination algorithm for nonlinear parameter-varying systems to rule out models that are inconsistent with observations at run time, by checking the feasibility of corresponding mixed-integer linear programs. Moreover, we apply the algorithms to nonlinear systems subject to (m,k)-firm data losses and explicitly provide the integer constraints corresponding to the (m,k)-firm constraints for lossy/missing data. Finally, we demonstrate the effectiveness of our approaches using several illustrative examples on fault detection, swarm consensus and intent identification problems.

Original languageEnglish (US)
Article number9327462
Pages (from-to)151-156
Number of pages6
JournalIEEE Control Systems Letters
Volume6
DOIs
StateAccepted/In press - 2021

Keywords

  • Switched systems
  • fault detection
  • model validation

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Control and Optimization

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