Discrete-time optimal tracking control for unknown nonlinear systems via a novel phase-error-based Q-learning method
In this paper, a novel phase-error-based Q-learning algorithm is proposed to solve the optimal tracking control problems for unknown discrete-time nonlinear systems. For the first time, phase errors between the system state and the desired trajectory are incorporated into the performance index, which rigorously guarant...