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In this paper, we propose an optimal online control method for discrete-time nonlinear Markov jump systems (MJSs). The Markov chain and the weighted sum technique are introduced to convert the Markov jumping problem into an optimal control problem. We then use adaptive dynamic programming (ADP) to accomplish online learning and control with specific learning algorithm and detailed stability analysis,...
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