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• W1973883772 abstract "This paper addresses the finite-time dynamic coverage problem for mobile sensor networks in unknown environments. By introducing a condition where dynamic coverage of all points within the sensing range of each sensor exceeds the desired coverage level by a positive constant, a switching control strategy is developed to guarantee the achievement of desired coverage of the whole mission domain in finite time. The environment is modeled by a density function and neural networks are introduced to learn the function. Due to the approximation capability of neural networks, the proposed control scheme can learn the environment without a priori knowledge on the structure of the density function." @default.
• W1973883772 created "2016-06-24" @default.
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• W1973883772 date "2014-10-01" @default.
• W1973883772 modified "2023-10-17" @default.
• W1973883772 title "Finite-time dynamic coverage for mobile sensor networks in unknown environments using neural networks" @default.
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• W1973883772 doi "https://doi.org/10.1016/j.jfranklin.2014.05.011" @default.
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