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- W3095475708 abstract "Switch-based adaptive dynamic programming (ADP) is an optimal control problem in which a cost must be minimized by switching among a family of dynamical modes. When the system dimension increases, the solution to switch-based ADP is made prohibitive by the exponentially increasing structure of the value function approximator and by the exponentially increasing modes. This technical correspondence proposes a distributed computational method for solving switch-based ADP. The method relies on partitioning the system into agents, each one dealing with a lower dimensional state and a few local modes. Each agent aims to minimize a local version of the global cost while avoiding that its local switching strategy has conflicts with the switching strategies of the neighboring agents. A heuristic algorithm based on the consensus dynamics and Nash equilibrium is proposed to avoid such conflicts. The effectiveness of the proposed method is verified via traffic and building test cases." @default.
- W3095475708 created "2020-11-09" @default.
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- W3095475708 date "2022-07-01" @default.
- W3095475708 modified "2023-10-13" @default.
- W3095475708 title "On Distributed Implementation of Switch-Based Adaptive Dynamic Programming" @default.
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- W3095475708 doi "https://doi.org/10.1109/tcyb.2020.3029825" @default.
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