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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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Date
2018
Author
Azhmyakov V.
Vemest E.I.
Trujillo L.A.G.
Valenzuela P.A.

Citación

       
TY - GEN T1 - Optimization of affine dynamic systems evolving with state suprema: New perspectives in maximum power point tracking control AU - Azhmyakov V. AU - Vemest E.I. AU - Trujillo L.A.G. AU - Valenzuela P.A. Y1 - 2018 UR - http://hdl.handle.net/11407/4885 PB - Institute of Electrical and Electronics Engineers Inc. AB - 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. © 2017 IEEE. ER - @misc{11407_4885, author = {Azhmyakov V. and Vemest E.I. and Trujillo L.A.G. and Valenzuela P.A.}, title = {Optimization of affine dynamic systems evolving with state suprema: New perspectives in maximum power point tracking control}, year = {2018}, abstract = {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. © 2017 IEEE.}, url = {http://hdl.handle.net/11407/4885} }RT Generic T1 Optimization of affine dynamic systems evolving with state suprema: New perspectives in maximum power point tracking control A1 Azhmyakov V. A1 Vemest E.I. A1 Trujillo L.A.G. A1 Valenzuela P.A. YR 2018 LK http://hdl.handle.net/11407/4885 PB Institute of Electrical and Electronics Engineers Inc. AB 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. © 2017 IEEE. OL Spanish (121)
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Abstract
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. © 2017 IEEE.
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http://hdl.handle.net/11407/4885
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