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Memorias de investigación
Artículos en revistas:
New incremental Takagi-Sugeno state model for optimal control of multivariable nonlinear time delay systems
Año:2015
Áreas de investigación
  • Ingenierías,
  • Ciencias de la computación y tecnología informática,
  • Ingeniería eléctrica, electrónica y automática
Datos
Descripción
In this work, a novel approach based on incremental state models has been proposed for the modeling of multivariable nonlinear delayed systems expressed by a generalized version of Takagi?Sugeno (T?S) fuzzy model. One of the key features of the new approach is that the proposed incremental state model compared with the no incremental one, naturally solves the problem of computing the target state, since for a desired output vector, a zero incremental state can be taken as an objective. Moreover, the control action in an incremental form is equivalent to introduce an integral action, thereby cancelling the steady state errors. Among other advantages using incremental models are the disappearance of the affine terms. Then, a fuzzy based linear quadratic regulator (FLC-LQR) is designed. Furthermore, a new optimal observer for multivariable fuzzy systems is developed, because not all states of the nonlinear system are fully available or measured. A multivariable thermal mixing tank system is chosen to evaluate the robustness of the proposed controller. The results obtained show a robust, well damped response with zero steady state error in the presence of disturbances and modeling errors.
Internacional
Si
JCR del ISI
Si
Título de la revista
Engineering Applications of Artificial Intelligence
ISSN
0952-1976
Factor de impacto JCR
2,368
Información de impacto
Datos JCR del año 2015
Volumen
45
DOI
10.1016/j.engappai.2015.07.006
Número de revista
Desde la página
259
Hasta la página
268
Mes
SIN MES
Ranking
For 2015, the journal ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENC... has an Impact Factor of 2.368 in the following categories: AUTOMATION & CONTROL SYSTEMS; COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE; ENGINEERING, ELECTRICAL & ELECTRONIC; ENGINEERING, MULTIDISCIPLINARY;
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Basil Mohammed Al-Hadithi Abdul Qadir (UPM)
  • Autor: Agustin Jimenez Avello (UPM)
  • Autor: Juan Perez Oria
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Departamento: Automática, Ingeniería Eléctrica y Electrónica e Informática Industrial
  • Departamento: Ingeniería Eléctrica, Electrónica Automática y Física Aplicada
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