Optimal control deals with the problem of finding a control law for a given system that a certain optimality criterion is achieved. It can be derived using Pont

The book reviews developments in the following fields: optimal adaptive control; online differential games; reinforcement learning principles; and dynamic feedb

Reinforcement learning (RL) and adaptive dynamic programming (ADP) has been one of the most critical research fields in science and engineering for modern compl

The classical optimal control theory deals with the determination of an optimal control that optimizes the criterion subjects to the dynamic constraint expressi

This work studies a multi-player H∞ differential game for systems of general linear dynamics. In this game, multiple players design their control inputs to mi