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• W1793264465 abstract "This paper presents a concurrent learning-based actor-critic-identifier architecture to obtain an approximate feedback-Nash equilibrium solution to an infinite horizon N-player nonzero-sum differential game. The solution is obtained online for a nonlinear control-affine system with uncertain linearly parameterized drift dynamics. It is shown that under a condition milder than persistence of excitation (PE), uniformly ultimately bounded convergence of the developed control policies to the feedback-Nash equilibrium policies can be established. Simulation results are presented to demonstrate the performance of the developed technique without an added excitation signal." @default.
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• W1793264465 date "2014-07-01" @default.
• W1793264465 modified "2023-09-24" @default.
• W1793264465 title "Concurrent learning-based approximate feedback-Nash equilibrium solution of N-player nonzero-sum differential games" @default.
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• W1793264465 doi "https://doi.org/10.1109/jas.2014.7004681" @default.
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