This paper develops a novel concurrent learning-based approximate dynamics programming (ADP) algorithm for solving the two-player zero-sum (ZS) game arising in H∞ control of continuous-time (CT) systems with unknown nonlinear ...

This paper presents an online adaptive optimal control method based on reinforcement learning to solve the multi-agent nonzero-sum (NZS) differential games of nonlinear constrained-input continuous-time systems. A non-quadratic ...

In this paper, an online adaptive optimal control algorithm based on policy iteration (PI) is developed to solve the H∞ control problem of partially unknown nonlinear continuous-time (CT) systems. The convergence of existing ...

Abstract—In this paper a partially model-free reinforcement learning (RL) algorithm based on experience replay is developed for finding online the Nash equilibrium solution of the multi-player nonzero-sum (NZS) differential ...

Active insulin infusion using fuzzy-based closed-loop

This paper employs a new approach to regulate the

blood glucose level of type I diabetic patient under an intensive

insulin treatment. The closed-loop control scheme incorporates

expert knowledge about ...