Solving time-delay optimal control problems via artificial neural networks

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.

کلیدواژه ها:

Time-delay optimal control problems ، Artificial Neural Networks ، unconstrained optimization problem