Discrete-time optimal tracking control for unknown nonlinear systems via a novel phase-error-based Q-learning method
A novel phase-error-based Q-learning algorithm is proposed to solve the optimal tracking control problems for unknown discrete-time nonlinear systems, which enables optimal tracking control without requiring system dynamics or pre-established effective control strategies.