Inverse Reinforcement Learning <i>H</i> <sub>∞</sub> Optimal Control for Takagi--Sugeno Fuzzy Systems

Wenting Song, Yongming Li, Shaocheng Tong

Open source

DOI
10.1109/tcyb.2026.3690606
Published
2026-10
Container
IEEE Transactions on Cybernetics
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Open access
unknown

Credibility signals

uncertain Score 64/100 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:10.1109/tcyb.2026.3690606,
  title = {Inverse Reinforcement Learning
                    <i>H</i>
                    <sub>∞</sub>
                    Optimal Control for Takagi--Sugeno Fuzzy Systems},
  author = {Wenting Song and Yongming Li and Shaocheng Tong},
  year = {2026},
  journal = {IEEE Transactions on Cybernetics},
  doi = {10.1109/tcyb.2026.3690606},
  url = {https://doi.org/10.1109/tcyb.2026.3690606}
}

RIS

TY  - JOUR
TI  - Inverse Reinforcement Learning
                    <i>H</i>
                    <sub>∞</sub>
                    Optimal Control for Takagi--Sugeno Fuzzy Systems
AU  - Wenting Song
AU  - Yongming Li
AU  - Shaocheng Tong
PY  - 2026
JO  - IEEE Transactions on Cybernetics
DO  - 10.1109/tcyb.2026.3690606
UR  - https://doi.org/10.1109/tcyb.2026.3690606
ER  - 

APA

Song, W., Li, Y., & Tong, S. (2026). Inverse Reinforcement Learning <i>H</i> <sub>∞</sub> Optimal Control for Takagi--Sugeno Fuzzy Systems. IEEE Transactions on Cybernetics. https://doi.org/10.1109/tcyb.2026.3690606

Source records