Welcome to
Ao Teng's Homepage!
欢迎来到滕奥的主页!
 
Ao Teng | 滕奥
Ph.D. Candidate in Beijing Jiaotong University
北京交通大学2022级博士生
 aoteng[at]bjtu[dot]edu[dot]cn

Publications | 发表论文

Papers in Press | 最新录用

Journal Papers | 期刊论文

  1. Ao Teng, Guoguang Wen, Yidi Wang, Jiayang Xu, Yunhe Meng, Tingwen Huang. Dynamic Event-Triggered Optimized Backstepping Containment Control of a Class of Stochastic Nonlinear MASs Using Reinforcement Learning. IEEE Internet of Things Journal, 2025, 12(15): 29745–29757, doi: 10.1109/JIOT.2025.3569625. [BibTex] [Link]

  2. @ARTICLE{11002855,
      author={Teng, Ao and Wen, Guoguang and Wang, Yidi and Xu, Jiayang and Meng, Yunhe and Huang, Tingwen},
      journal={IEEE Internet of Things Journal}, 
      title={Dynamic Event-Triggered Optimized Backstepping Containment Control of a Class of Stochastic Nonlinear MASs Using Reinforcement Learning}, 
      year={2025},
      volume={12},
      number={15},
      pages={29745-29757},
      doi={10.1109/JIOT.2025.3569625}
    }
  3. Ao Teng, Guoguang Wen, Zhaoxia Peng, Yidi Wang, Bofan Wu, Tingwen Huang. Fully-distributed dynamic event-triggered optimized backstepping bipartite consensus control based on neural network observer and reinforcement learning. Neurocomputing, 2025, 653: 131157, doi: 10.1016/j.neucom.2025.131157. [BibTex] [Link]

  4. @article{TENG2025131157,
      title   = {Fully-distributed dynamic event-triggered optimized backstepping bipartite consensus control based on neural network observer and reinforcement learning},
      author  = {Ao Teng and Guoguang Wen and Zhaoxia Peng and Yidi Wang and Bofan Wu and Tingwen Huang},
      journal = {Neurocomputing},
      volume  = {653},
      pages   = {131157},
      year    = {2025},
      issn    = {0925-2312},
      doi     = {https://doi.org/10.1016/j.neucom.2025.131157},
      url     = {https://www.sciencedirect.com/science/article/pii/S0925231225018296}
    }
  5. Ao Teng, Guoguang Wen, Yidi Wang, Jiayang Xu, Yunhe Meng, Tingwen Huang. Command filter based optimized backstepping tracking control design for uncertain strict-feedback chaotic systems via reinforcement learning. Neurocomputing, 2026, 133540, doi: 10.1016/j.neucom.2026.133540. [BibTex] [Link]

  6. @article{TENG2026133540,
      title = {Command filter based optimized backstepping tracking control design for uncertain strict-feedback chaotic systems via reinforcement learning},
      author = {Ao Teng and Guoguang Wen and Yidi Wang and Jiayang Xu and Yunhe Meng and Tingwen Huang},
      journal = {Neurocomputing},
      pages = {133540},
      year = {2026},
      issn = {0925-2312},
      doi = {https://doi.org/10.1016/j.neucom.2026.133540},
      url = {https://www.sciencedirect.com/science/article/pii/S0925231226009379}
    }

Conference Papers | 会议论文

Invited Talks | 受邀报告

Thesis | 学位论文