 This paper proposes a data-driven controller for a dynamical system that uses neural networks to estimate the state and optimize the cost function. It also provides sufficient conditions for the controller to ensure exponential input to state stability. This article was authored by Lillio Kiowa-Kathrin, John Luca Bingen, and Emiliano Dallanese.