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arXiv · 2007.15680

Optimization with Zeroth-Order Oracles in Formation

Elad Michael·Daniel Zelazo·Tony A. Wood·Chris Manzie·Iman Shames
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Abstract

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.

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Elad Michael, Daniel Zelazo, Tony A. Wood, Chris Manzie, Iman Shames. 2020-07-30. Optimization with Zeroth-Order Oracles in Formation. https://arxiv.org/abs/2007.15680

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