Optimization of affine dynamic systems evolving with state suprema: New perspectives in maximum power point tracking control

Vadim Azhmyakov; Erik I. Vemest; Luz A.Guzman Trujillo; Patricia A. Valenzuela

doi:10.1109/CCAC.2017.8276442

Optimization of affine dynamic systems evolving with state suprema: New perspectives in maximum power point tracking control

Vadim Azhmyakov, Erik I. Vemest, Luz A.Guzman Trujillo, Patricia A. Valenzuela

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© 2017 IEEE. This paper studies optimization of dynamic systems described by affine Functional Differential Equations (FDEs) involving a sup-operator. We deal with a class of FDEs-featured Optimal Control Problems (OCPs) in the presence of some additional control constraints. Our aim is to derive the first-order optimality conditions and propose an effective solution algorithm. Moreover, we are interested in applications of the resulting optimal design techniques to the Maximum Power Point Tracking (MPPT) control of solar energy plants. We develop a conceptual computational approach to the specific class of OCPs under consideration and also point possible applications of this new methodology in MPPT control.

Idioma original	Inglés estadounidense
Páginas	1-7
Número de páginas	7
DOI	https://doi.org/10.1109/CCAC.2017.8276442
Estado	Publicada - 30 ene. 2018
Evento	2017 IEEE 3rd Colombian Conference on Automatic Control, CCAC 2017 - Conference Proceedings - Duración: 30 ene. 2018 → …

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Conferencia	2017 IEEE 3rd Colombian Conference on Automatic Control, CCAC 2017 - Conference Proceedings
Período	30/01/18 → …

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abstract = "{\textcopyright} 2017 IEEE. This paper studies optimization of dynamic systems described by affine Functional Differential Equations (FDEs) involving a sup-operator. We deal with a class of FDEs-featured Optimal Control Problems (OCPs) in the presence of some additional control constraints. Our aim is to derive the first-order optimality conditions and propose an effective solution algorithm. Moreover, we are interested in applications of the resulting optimal design techniques to the Maximum Power Point Tracking (MPPT) control of solar energy plants. We develop a conceptual computational approach to the specific class of OCPs under consideration and also point possible applications of this new methodology in MPPT control.",

author = "Vadim Azhmyakov and Vemest, {Erik I.} and Trujillo, {Luz A.Guzman} and Valenzuela, {Patricia A.}",

year = "2018",

month = jan,

day = "30",

doi = "10.1109/CCAC.2017.8276442",

language = "American English",

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note = "2017 IEEE 3rd Colombian Conference on Automatic Control, CCAC 2017 - Conference Proceedings ; Conference date: 30-01-2018",

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Optimization of affine dynamic systems evolving with state suprema: New perspectives in maximum power point tracking control. / Azhmyakov, Vadim; Vemest, Erik I.; Trujillo, Luz A.Guzman et al.
2018. 1-7 Papel presentado en 2017 IEEE 3rd Colombian Conference on Automatic Control, CCAC 2017 - Conference Proceedings.

Producción científica: Contribución a una conferencia › Paper

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AU - Trujillo, Luz A.Guzman

AU - Valenzuela, Patricia A.

PY - 2018/1/30

Y1 - 2018/1/30

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AB - © 2017 IEEE. This paper studies optimization of dynamic systems described by affine Functional Differential Equations (FDEs) involving a sup-operator. We deal with a class of FDEs-featured Optimal Control Problems (OCPs) in the presence of some additional control constraints. Our aim is to derive the first-order optimality conditions and propose an effective solution algorithm. Moreover, we are interested in applications of the resulting optimal design techniques to the Maximum Power Point Tracking (MPPT) control of solar energy plants. We develop a conceptual computational approach to the specific class of OCPs under consideration and also point possible applications of this new methodology in MPPT control.

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Optimization of affine dynamic systems evolving with state suprema: New perspectives in maximum power point tracking control

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