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- W2913943886 abstract "We developed distributed continuous-time algorithms to solve the resource allocation problem with quadratic cost functions and continuously time-varying resources. Since the resources are time-varying, the optimal solution is changing over time. The allocation decision variable should not only find but also track the optimal solution trajectory. In a distributed manner, the agents work collaboratively to find as well as track the optimal solution using local information. Without the local allocation feasibility constraints, a distributed algorithm is designed based on sign function and consensus protocols. The tracking error is proven to vanish in finite time. When the local allocation feasibility constraints are considered, a distributed algorithm based on singular perturbation theory and penalty function is developed. The tracking error is proven to be uniformly ultimately bounded." @default.
- W2913943886 created "2019-02-21" @default.
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- W2913943886 date "2018-12-01" @default.
- W2913943886 modified "2023-10-14" @default.
- W2913943886 title "Distributed Continuous-time Resource Allocation with Time-varying Resources under Quadratic Cost Functions" @default.
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- W2913943886 doi "https://doi.org/10.1109/cdc.2018.8619295" @default.
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