Decentralized Control for Optimizing Communication with Infeasible Regions

Decentralized Control for Optimizing Communication with Infeasible Regions

In this paper we present a decentralized gradient-based controller that optimizes communication between mobile aerial vehicles and stationary ground sensor vehicles in an environment with infeasible regions. The formulation of our problem as a MIQP is easily implementable, and we show that the addit...

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Bibliographic Details
Main Authors: Gil, Stephanie (Contributor), Prentice IV, Samuel James (Contributor), Roy, Nicholas (Contributor), Rus, Daniela L (Contributor)
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor), Massachusetts Institute of Technology. Department of Aeronautics and Astronautics (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor)
Format: Article
Language:English
Published: Springer Nature, 2018-04-10T15:59:50Z.
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