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Event-triggered exponentially robust state estimation for nonlinear systems via generalized estimator

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This study considers the observer design for a more generic class of one-sided Lipschitz (OSL) systems via event-triggered approach. Further, we have considered the robustness of state estimation along with a generalized observer, rather than the classical Luenberger observer. A set forth linear matrix inequalities (LMIs)-based solution along with pseudo-inverse techniques has been presented. The presented method ensures the estimation error in a uniformly bounded region in the steady-state, whilst ensuring faster convergence of the estimated states towards actual states of the system with OSL nonlinearities both in states and output. It should be noted that very less amount of work has been devoted to the ET generalized observer design for nonlinear systems. The results are also extended for designing a local state estimator under event-triggering. A simulation example is provided to verify and the results along with comparison analysis.

Original languageEnglish
Title of host publication2026 International Power Electronics Conference, IPEC-Nagasaki 2026 - ECCE Asia
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9784886864475
DOIs
StatePublished - 2026
Event2026 International Power Electronics Conference, IPEC-Nagasaki 2026 - ECCE Asia - Nagasaki, Japan
Duration: 31 May 20264 Jun 2026

Publication series

Name2026 International Power Electronics Conference, IPEC-Nagasaki 2026 - ECCE Asia

Conference

Conference2026 International Power Electronics Conference, IPEC-Nagasaki 2026 - ECCE Asia
Country/TerritoryJapan
CityNagasaki
Period31/05/264/06/26

Bibliographical note

Publisher Copyright:
© 2026 IEEJ-IAS.

ASJC Scopus subject areas

  • Control and Optimization
  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering
  • Safety, Risk, Reliability and Quality

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