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A method of cooperative control using occasional non-local interactions

Brian Shucker, Todd D. Murphey, John K. Bennett

Year
2006
Citations
27

Abstract

Current approaches to distributed control involving many robots generally restrict interactions to pairs of robots within a threshold distance. While this allows for provable stability, there are performance costs associated with the lack of long-distance information. We introduce the acute angle switching algorithm, which allows a small number of long-range interactions in addition to interactions with nearby neighbors, without sacrificing provable stability. We prove several formal properties of the acute angle switching algorithm, including system-wide connectivity. Further, we show simulation results demonstrating the efficacy and robustness of multi-robot systems based on the acute angle switching algorithm

Keywords

Robustness (evolution)RobotComputer scienceStability (learning theory)Range (aeronautics)Control (management)Distributed computingAlgorithmArtificial intelligenceEngineering

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