Optimization with Zeroth-Order Oracles in Formation
Autor: | Michael, Elad, Zelazo, Daniel, Wood, Tony A., Manzie, Chris, Shames, Iman |
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Rok vydání: | 2020 |
Předmět: | |
Druh dokumentu: | Working Paper |
Popis: | In this paper, we consider the optimisation of time varying functions by a network of agents with no gradient information. The proposed a novel method to estimate the gradient at each agent's position using only neighbour information. The gradient estimation is coupled with a formation controller, to minimise gradient estimation error and prevent agent collisions. Convergence results for the algorithm are provided for functions which satisfy the Polyak-Lojasiewicz inequality. Simulations and numerical results are provided to support the theoretical results. Comment: 8 pages, 4 figures, accepted in The 2020 Conference on Decisions and Control |
Databáze: | arXiv |
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