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Open access Sep 2026

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...

Han-Wen Zhang, Chi Peng, Yu-Xin Zhang et al. · 0 citations

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