Zero-Sum Game-Based Reinforcement Learning Tracking Control with Predefined-Time Prescribed Performance for Highly Flexible Aircraft
This paper develops a zero-sum game-based reinforcement learning tracking controller with predefined-time prescribed performance (ZG-RL-PP) for highly flexible aircraft. The disturbed tracking-error dynamics are first transformed into a min–max optimal control problem, where the control input and the disturbance are tr...