Robust unknown input observer for state and fault estimation in discrete-time Takagi-Sugeno systems

In this paper, a robust unknown input observer (UIO) for the joint state and fault estimation in discrete-time Takagi-Sugeno (TS) systems is presented. The proposed robust UIO, by applying the H-infinity framework, leads to a less restrictive design procedure with respect to recent results found in...

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Detalles Bibliográficos
Autores: Rotondo, Damiano|||0000-0002-8855-5582, Witczak, Marcin, Puig Cayuela, Vicenç|||0000-0002-6364-6429, Nejjari Akhi-Elarab, Fatiha|||0000-0001-9118-632X, Pazera, Marcin
Tipo de recurso: artículo
Fecha de publicación:2016
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/89070
Acceso en línea:https://hdl.handle.net/2117/89070
https://dx.doi.org/10.1080/00207721.2016.1165898
Access Level:acceso abierto
Palabra clave:Failure analysis (Engineering)
State estimation
fault diagnosis
unknown input observers (UIOs)
Takagi-Sugeno (TS) fuzzy systems
NONLINEAR UNCERTAIN SYSTEMS
FUZZY CONTROL
DESIGN
DIAGNOSIS
MODELS
IDENTIFICATION
STABILITY
MATRICES
Anàlisi de fallades (Enginyeria)
Àrees temàtiques de la UPC::Informàtica::Automàtica i control
Descripción
Sumario:In this paper, a robust unknown input observer (UIO) for the joint state and fault estimation in discrete-time Takagi-Sugeno (TS) systems is presented. The proposed robust UIO, by applying the H-infinity framework, leads to a less restrictive design procedure with respect to recent results found in the literature. The resulting design procedure aims at achieving a prescribed attenuation level with respect to the exogenous disturbances, while obtaining at the same time the convergence of the observer with a desired bound on the decay rate. An extension to the case of unmeasurable premise variables is also provided. Since the design conditions reduce to a set of linear matrix inequalities that can be solved efficiently using the available software, an evident advantage of the proposed approach is its simplicity. The final part of the paper presents an academic example and a real application to a multi-tank system, which exhibit clearly the performance and effectiveness of the proposed strategy.