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Coverage control in an isotropic Gaussian mixture environment
Proceedings of the 2010 American Control Conference
In this work we address the problem of coverage control of a group of mobile sensors in a convex and bounded environment which is subject to an isotropic Gaussian mixture (GM) model. We consider the case that the GM model is introduced by a known number of information sources with time-varying locations. We show by examples that in such a dynamic environment, it may not be possible and feasible for sensors to gain a nondecreasing and maximal reward. Instead, in the case of allowing sensors actdoi:10.1109/acc.2010.5531505 fatcat:lwyb6xigm5dn5lujridylorzoa