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Iterative method
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Near-Optimal Regulation with Asymmetric Constraints via Generalized Value Iteration
Data-Driven Hybrid Intelligent Optimal Tracking Design with Industrial Applications
Data-Driven Optimal Trajectory Tracking via a Novel Self-Learning Approach
Adaptive Critic with Improved Cost for Discounted Tracking and Novel Stability Proof
Nonaffine Neuro-Optimal Tracking Control with Accuracy and Stability Guarantee