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- W2319283355 abstract "The collaborative control of autonomous aircraft can be posed as a time varying multiagent routing problem. This is a NP-hard problem that must be solved every few seconds as conditions change. We propose a linear combination of stochastic weights to approximate this dicult problem. The approximation allows us to solved this dicult problem with a sequence of always-feasible linear optimization problems. The introduction of stochastic weights enables the algorithm to account for uncertainty in aircraft performance, changing environmental conditions and the uncertainty introduced by delayed or intermittent communication. By exploiting the problem’s structure this method is decentralized across multiple aircraft and no aircraft represents a single point of failure. Furthermore, the algorithm can operate with an arbitrary communication topology. However, as would be expected, degraded communication results in degraded performance. Numerical results comparing the algorithm, multiagent auctioning and the optimal are presented. These numerical results consider a problem with a static cost function, static constraints and complete information. This algorithm was implemented within a collaborative mobile sensor network of autonomous aircraft in the summer of 2009. The algorithm performed well given a time varying cost function, time varying constraints and incomplete information." @default.
- W2319283355 created "2016-06-24" @default.
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- W2319283355 date "2011-03-29" @default.
- W2319283355 modified "2023-09-27" @default.
- W2319283355 title "Stochastic Approximation of an Online Multiagent Routing Problem for Autonomous Aircraft" @default.
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- W2319283355 doi "https://doi.org/10.2514/6.2011-1463" @default.
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