Indirect/Direct Learning Coverage Control for Wireless Sensor and Mobile Robot Networks

This article proposes indirect/direct learning control schemes for wireless sensor and mobile robot networks to cover an environment according to the density function, which is the distribution of an important quantity within the environment. When stationary sensors cooperate with mobile robots, the...

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Vydané v:	IEEE transactions on control systems technology Ročník 30; číslo 1; s. 202 - 217
Hlavní autori:	Liu, Yen-Chen, Lin, Tsen-Chang, Lin, Mu-Tai
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.01.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Adaptive algorithms Adaptive control Algorithms Basis functions Coverage control Density Density functional theory estimated density function (EDF) Estimation expectation–maximization algorithm (EM-algorithm) Learning Mobile robots Numerical methods Partitioning algorithms Robot control Robot sensing systems sensory model Weighting Wireless communication wireless sensor and mobile robot network Wireless sensor networks
ISSN:	1063-6536, 1558-0865
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