dor_id: 45715

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856.4.0.u: https://jart.icat.unam.mx/index.php/jart/article/view/211/208

100.1.#.a: Elloumi, S.; Benhadj Braiek, N.

524.#.#.a: Elloumi, S., et al. (2014). On Feedback Control Techniques of Nonlinear Analytic Systems. Journal of Applied Research and Technology; Vol. 12 Núm. 3. Recuperado de https://repositorio.unam.mx/contenidos/45715

245.1.0.a: On Feedback Control Techniques of Nonlinear Analytic Systems

502.#.#.c: Universidad Nacional Autónoma de México

561.1.#.a: Instituto de Ciencias Aplicadas y Tecnología, UNAM

264.#.0.c: 2014

264.#.1.c: 2014-06-01

653.#.#.a: Nonlinear systems; Optimal control; State Dependant Riccati Equation (SDRE); Feedback control; stability analysis

506.1.#.a: La titularidad de los derechos patrimoniales de esta obra pertenece a las instituciones editoras. Su uso se rige por una licencia Creative Commons BY-NC-SA 4.0 Internacional, https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode.es, para un uso diferente consultar al responsable jurídico del repositorio por medio del correo electrónico gabriel.ascanio@icat.unam.mx

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001.#.#.#: 074.oai:ojs2.localhost:article/211

041.#.7.h: eng

520.3.#.a: This paper presents three approaches dealing with the feedback control of nonlinear analytic systems. The first onetreats the optimal control resolution for a control-affine nonlinear system using the State Dependant Riccati Equation(SDRE) method. It aims to solve a nonlinear optimal control problem through a Riccati equation that depends on thestate. The second approach treats a procedure of constructing an analytic expression of a nonlinear state feedbacksolution of an optimal regulation problem with the help of Kronecker tensor notations. The third one deals with theglobal asymptotic stabilization of the nonlinear polynomial systems. The designed state feedback control law stabilizesquadratically the studied systems. Our main contribution in this paper is to carry out a stability analysis for this kind ofsystems and to develop new sufficient conditions of stability. A numerical-simulation-based comparison of the threemethods is finally performed.

773.1.#.t: Journal of Applied Research and Technology; Vol. 12 Núm. 3

773.1.#.o: https://jart.icat.unam.mx/index.php/jart

022.#.#.a: ISSN electrónico: 2448-6736; ISSN: 1665-6423

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264.#.1.b: Instituto de Ciencias Aplicadas y Tecnología, UNAM

doi: https://doi.org/10.1016/S1665-6423(14)71630-X

harvesting_date: 2023-11-08 13:10:00.0

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last_modified: 2024-03-19 14:00:00

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Artículo

On Feedback Control Techniques of Nonlinear Analytic Systems

Elloumi, S.; Benhadj Braiek, N.

Instituto de Ciencias Aplicadas y Tecnología, UNAM, publicado en Journal of Applied Research and Technology, y cosechado de Revistas UNAM

Licencia de uso

Procedencia del contenido

Cita

Elloumi, S., et al. (2014). On Feedback Control Techniques of Nonlinear Analytic Systems. Journal of Applied Research and Technology; Vol. 12 Núm. 3. Recuperado de https://repositorio.unam.mx/contenidos/45715

Descripción del recurso

Autor(es)
Elloumi, S.; Benhadj Braiek, N.
Tipo
Artículo de Investigación
Área del conocimiento
Ingenierías
Título
On Feedback Control Techniques of Nonlinear Analytic Systems
Fecha
2014-06-01
Resumen
This paper presents three approaches dealing with the feedback control of nonlinear analytic systems. The first onetreats the optimal control resolution for a control-affine nonlinear system using the State Dependant Riccati Equation(SDRE) method. It aims to solve a nonlinear optimal control problem through a Riccati equation that depends on thestate. The second approach treats a procedure of constructing an analytic expression of a nonlinear state feedbacksolution of an optimal regulation problem with the help of Kronecker tensor notations. The third one deals with theglobal asymptotic stabilization of the nonlinear polynomial systems. The designed state feedback control law stabilizesquadratically the studied systems. Our main contribution in this paper is to carry out a stability analysis for this kind ofsystems and to develop new sufficient conditions of stability. A numerical-simulation-based comparison of the threemethods is finally performed.
Tema
Nonlinear systems; Optimal control; State Dependant Riccati Equation (SDRE); Feedback control; stability analysis
Idioma
eng
ISSN
ISSN electrónico: 2448-6736; ISSN: 1665-6423

Enlaces