Automated generation and comparison of Takagi–Sugeno and polytopic quasi-LPV models

In the last decades, gain-scheduling control techniques have consolidated as an efficient answer to analysis and synthesis problems for non-linear systems. Among the approaches proposed in the literature, the linear parameter varying (LPV) and Takagi–Sugeno (TS) paradigms have proved to be successfu...

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Detalles Bibliográficos
Autores: Rotondo, Damiano|||0000-0002-8855-5582, Puig Cayuela, Vicenç|||0000-0002-6364-6429, Nejjari Akhi-Elarab, Fatiha|||0000-0001-9118-632X, Witczak, Marcin
Tipo de recurso: artículo
Fecha de publicación:2015
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:2117/83202
Acceso en línea:https://hdl.handle.net/2117/83202
https://dx.doi.org/10.1016/j.fss.2015.02.002
Access Level:acceso abierto
Palabra clave:Simulation methods -- Computer simulation
Modeling
Takagi–Sugeno (TS) fuzzy systems
Linear parameter varying (LPV) systems
Simulació, Mètodes de -- Models matemàtics
Descripción
Sumario:In the last decades, gain-scheduling control techniques have consolidated as an efficient answer to analysis and synthesis problems for non-linear systems. Among the approaches proposed in the literature, the linear parameter varying (LPV) and Takagi–Sugeno (TS) paradigms have proved to be successful in dealing with the different trials that the analyzer, or the designer, of a gain-scheduled control system has to face. Despite the strong similarities between the two paradigms, research on LPV and TS systems has been performed in an independent way and some results that could be useful for both paradigms were obtained only for one of them. However, in recent works, some clues that there is a very close connection between LPV and TS worlds have been presented. The present paper openly addresses the presence of strong analogies between LPV and TS models, in an attempt to establish a bridge between these two worlds, so far considered different. In particular, this paper addresses the modeling problem, presenting two methods for the automated generation of LPV and TS systems, and introducing some measures in order to compare the obtained models. A mathematical example is used to illustrate the proposed methods.