Solving time-delay optimal control problems via artificial neural networks

Document Type : Research Paper

Author

Department of Mathematics and Statistics, Faculty of Basic Sciences, Gonbad Kavous University, Gonbad Kavous, Iran

Abstract

This article presents a new approach for solving the Optimal Controls of linear time delay systems with a quadratic cost functional. In this study, the Artificial Neural Networks are employed for convert delay optimal control problem to a unconstrained optimization problem. Then by using an optimization algorithm, the optimal control law is obtained. Finally, Illustrative examples are included to demonstrate the validity and applicability of the technique.

Keywords

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Articles in Press, Corrected Proof
Available Online from 18 June 2025
  • Receive Date: 05 January 2024
  • Accept Date: 15 June 2024