Tensor-Train-based Algorithms for Aggregate State Estimation of Swarms with Interacting Agents

Tensor-Train-based Algorithms for Aggregate State Estimation of Swarms with Interacting Agents

© 2020 AACC. In this paper, we develop an efficient implementation of the gas-kinetic (GK) Probability Hypothesis Density (PHD) filter for aggregate swarm state estimation with interacting agents. We borrow a kinetic/mesoscopic partial differential equation (PDE) model of a swarm of interacting agen...

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Bibliographic Details
Main Authors: Miculescu, David, Karaman, Sertac
Other Authors: Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
Format: Article
Language:English
Published: IEEE 2021
Online Access:https://hdl.handle.net/1721.1/137298

Internet

https://hdl.handle.net/1721.1/137298

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