作者: Florian Meyer , Henk Wymeersch , Franz Hlawatsch
DOI: 10.1109/ICASSP.2015.7178492
关键词:
摘要: We propose a Bayesian method for cooperative localization and control in mobile agent networks. Distributed, self-localization of each is supported by an information-seeking the movement agents. For localization, SPAWN message passing scheme used. Cooperative achieved maximizing negative joint posterior entropy states via gradient ascent. The part our provides with sample-based probabilistic information. Simulation results demonstrate intelligent behavior agents excellent accuracy.