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

Resultado de la investigación: Contribución a una conferenciaPaper

1 Cita (Scopus)

Resumen

© 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 originalInglés estadounidense
Páginas1-7
Número de páginas7
DOI
EstadoPublicada - 30 ene 2018
Evento2017 IEEE 3rd Colombian Conference on Automatic Control, CCAC 2017 - Conference Proceedings -
Duración: 30 ene 2018 → …

Conferencia

Conferencia2017 IEEE 3rd Colombian Conference on Automatic Control, CCAC 2017 - Conference Proceedings
Período30/01/18 → …

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    Azhmyakov, V., Vemest, E. I., Trujillo, L. A. G., & Valenzuela, P. A. (2018). Optimization of affine dynamic systems evolving with state suprema: New perspectives in maximum power point tracking control. 1-7. Papel presentado en 2017 IEEE 3rd Colombian Conference on Automatic Control, CCAC 2017 - Conference Proceedings, . https://doi.org/10.1109/CCAC.2017.8276442