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https://doi.org/10.1007/978-3-642-31721-7te the applicability of the constructed event-driven method, respectively, implemented via DHP, heuristic dynamic programming, and neural dynamic programming. Remarkably, compared with the traditional DHP algorithm, the event-based algorithm is able to substantially reduce the updating times of the
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2662-5458 n the field of intelligent optimal control. It is beneficial to promote the development of intelligent optimal control approaches and the construction of high-level intelligent systems..978-981-19-7293-5978-981-19-7291-1Series ISSN 2662-5458 Series E-ISSN 2662-5466
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,Self-Learning Optimal Regulation with Event-Driven Iterative Adaptive Critic,978-1-4612-2492-1
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Near-Optimal Regulation with Asymmetric Constraints via Generalized Value Iteration,978-3-662-25104-1
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Nonaffine Neuro-Optimal Tracking Control with Accuracy and Stability Guarantee,978-1-4684-0418-0
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Data-Driven Optimal Trajectory Tracking via a Novel Self-Learning Approach,978-3-662-25102-7
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Adaptive Critic with Improved Cost for Discounted Tracking and Novel Stability Proof,978-3-642-97418-2
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