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In this paper, the fully cooperative game with partially constrained inputs in the continuous-time Markov decision process environment is investigated using a novel data-driven adaptive dynamic programming method. First, the model-based policy iteration algorithm with one iteration loop is proposed, where the knowledge of system dynamics is required. Then, it is proved that the iteration sequences...
In this paper, the continuous-time input-constrained nonlinear H∞ state feedback control under event-based environment is investigated with adaptive critic designs and neural network implementation. The nonlinear H∞ control issue is regarded as a two-player zero-sum game that requires solving the Hamilton–Jacobi–Isaacs equation and the adaptive critic learning (ACL) method is adopted toward the event-based...
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