Zero-Sum Game-Based Practical Predefined-Time Reinforcement Learning for Robust Tracking Control of Highly Flexible Aircraft
This paper develops a zero-sum game-based practical predefined-time reinforcement learning method for robust tracking control of highly flexible aircraft. First, the disturbed tracking problem of highly flexible aircraft is transformed into a min–max optimal control problem, where the controller minimizes the infinite-...