Please use this identifier to cite or link to this item: http://hdl.handle.net/1843/82489
Type: Artigo de Periódico
Title: Unknown input observers for time-varying delay Takagi-Sugeno fuzzy systems with unmeasured nonlinear consequents
Authors: Márcia Luciana da Costa Peixoto
Anh-Tu Nguyen
Thierry-Marie Guerra
Reinaldo Martinez Palhares
Abstract: This paper investigates the problem of unknown input observer (UIO) design for Takagi–Sugeno (TS) fuzzy systems with time-varying delay. For observer design, all the unmeasured nonlinearities are isolated in the nonlinear consequent parts of TS fuzzy systems. This allows dealing with the well-known issue related to unmeasured premise variables for TS fuzzy observer design in a more effective fashion via the mean value theorem. Using the unknown input (UI) decoupling technique, no a priori information on the UI is needed for the proposed TS fuzzy observer design, which can guarantee the asymptotic estimations of both the system state and the unknown input. Employing a fuzzy Lyapunov–Krasovskii functional with a suitable augmented vector, the effect of time-varying delay on the estimation error dynamics is taken into account in the observer design. Numerical examples are presented to demonstrate the effectiveness of the proposed fuzzy UIO design method for nonlinear time-varying delay systems.
Subject: Sistemas difusos
Matemática
language: eng
metadata.dc.publisher.country: Brasil
Publisher: Universidade Federal de Minas Gerais
Publisher Initials: UFMG
metadata.dc.publisher.department: ENG - DEPARTAMENTO DE ENGENHARIA ELETRÔNICA
Rights: Acesso Restrito
metadata.dc.identifier.doi: 10.1016/j.ejcon.2023.100830
URI: http://hdl.handle.net/1843/82489
Issue Date: 2023
metadata.dc.url.externa: https://www.sciencedirect.com/science/article/pii/S0947358023000596
Appears in Collections:Artigo de Periódico

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