A multi-strategy fuzzy control method based on the Takagi-Sugeno model

Al-Hadithi, Basil Mohammed ORCID: https://orcid.org/0000-0002-8786-5511, Adánez García-Villaraco, José Miguel and Jiménez Avello, Agustín ORCID: https://orcid.org/0000-0003-4918-5918 (2022). A multi-strategy fuzzy control method based on the Takagi-Sugeno model. "Optimal Control Applications and Methods", v. 44 (n. 1); pp. 91-109. ISSN 1099-1514. https://doi.org/10.1002/oca.2932.

Descripción

Título: A multi-strategy fuzzy control method based on the Takagi-Sugeno model
Autor/es:
Tipo de Documento: Artículo
Título de Revista/Publicación: Optimal Control Applications and Methods
Fecha: 1 Agosto 2022
ISSN: 1099-1514
Volumen: 44
Número: 1
Materias:
ODS:
Palabras Clave Informales: T-S fuzzy model, Multi-Strategy Fuzzy Control, Incremental state model, Optimal control
Escuela: E.T.S.I. Diseño Industrial (UPM)
Departamento: Ingeniería Eléctrica, Electrónica Automática y Física Aplicada
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

In this work, a new multi-strategy fuzzy control (MSFC) based on fuzzy fusion techniques for the control of multivariable nonlinear systems is proposed. This new nonlinear control method is a mixture of different control techniques by fuzzy interpolation using the fuzzy Takagi-Sugeno model. It combines various control strategies to achieve smooth transient responses and zero steady state error. The following techniques are merged within the proposed MSFC structure: an optimal state feedback control that yields an optimal transient response, optimal control through an incremental state model that returns a zero steady state error, and a constant input control to maintain the system behavior within predefined boundaries whenever the MSFC method is applied.

Proyectos asociados

Tipo
Código
Acrónimo
Responsable
Título
Gobierno de España
PID2020-113096RB-I00
ACOGES
Sin especificar
Cognitive Personal Assistance for Social Environments (ACOGES

Más información

ID de Registro: 87957
Identificador DC: https://oa.upm.es/87957/
Identificador OAI: oai:oa.upm.es:87957
URL Portal Científico: https://portalcientifico.upm.es/es/ipublic/item/9951803
Identificador DOI: 10.1002/oca.2932
URL Oficial: https://onlinelibrary.wiley.com/doi/full/10.1002/o...
Depositado por: iMarina Portal Científico
Depositado el: 24 Feb 2025 07:54
Ultima Modificación: 24 Feb 2025 07:54