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...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE,
2021-11-03T18:31:30Z.
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| Subjects: | |
| Online Access: | Get fulltext |