Online adaptive optimal control algorithm based on synchronous integral reinforcement learning with explorations
Abstract: Highlights•Completely model-free algorithm without requiring any system dynamics and initial admissible policy.•Online adaptive tuning law that synchronously update the weights of two different neural networks.•Guaranteed stability and convergence of the closed-loop system and the weights of neural networks.
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