@inproceedings{99bc8af8c24c40aca7ead9e9cffabd96,
title = "A Consistent Numerical Approach to a Class of Optimal Control Processes Governed by Volterra Integro-Differential Equations",
abstract = "This paper is devoted to the numerical analysis of the recently obtained theoretic results for a class of optimal control processes governed by Volterra integro-differential equations (see [5]). Using the specific structure of the delayed Volterra integro-differential equations under consideration, we reduce the initially given Optimal Control Problem (OCP) to a numerically tractable separate convex-concave program. This reduction involves optimization techniques in real Hilbert spaces and makes it possible to apply the first-order solution algorithms to the sophisticated Volterra type OCPs. We next consider the celebrated Armijo gradient method for the purpose of a concrete computation and establish the numerical consistency of the resulting algorithm. Finally, we consider an illustrative example.",
author = "Vadim Azhmyakov and Verriest, {Erik I.} and Camilo Londono and {Del Toro}, {Raymundo Juarez}",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; null ; Conference date: 14-12-2020 Through 18-12-2020",
year = "2020",
month = dec,
day = "14",
doi = "10.1109/CDC42340.2020.9303962",
language = "Ingl{\'e}s",
series = "Proceedings of the IEEE Conference on Decision and Control",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "2362--2367",
booktitle = "2020 59th IEEE Conference on Decision and Control, CDC 2020",
address = "Estados Unidos",
}