Observer-based prescribed-time optimal neural consensus control for six-rotor UAVs: A novel actor-critic reinforcement learning strategy.

Zhou Y, Cao L, Lei Y, Ren H.

Open source

DOI
10.1016/j.neunet.2026.108644
Published
2026-02-01
Container
Neural Netw
Publisher
Not recorded
Open access
no

Credibility signals

limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1016/j.neunet.2026.108644,
  title = {Observer-based prescribed-time optimal neural consensus control for six-rotor UAVs: A novel actor-critic reinforcement learning strategy.},
  author = {Zhou Y and  Cao L and  Lei Y and  Ren H.},
  year = {2026},
  journal = {Neural Netw},
  doi = {10.1016/j.neunet.2026.108644},
  url = {https://doi.org/10.1016/j.neunet.2026.108644}
}

RIS

TY  - JOUR
TI  - Observer-based prescribed-time optimal neural consensus control for six-rotor UAVs: A novel actor-critic reinforcement learning strategy.
AU  - Zhou Y
AU  -  Cao L
AU  -  Lei Y
AU  -  Ren H.
PY  - 2026
JO  - Neural Netw
DO  - 10.1016/j.neunet.2026.108644
UR  - https://doi.org/10.1016/j.neunet.2026.108644
ER  - 

APA

Y, Z., L, C., Y, L., & H., R. (2026). Observer-based prescribed-time optimal neural consensus control for six-rotor UAVs: A novel actor-critic reinforcement learning strategy.. Neural Netw. https://doi.org/10.1016/j.neunet.2026.108644

Source records