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莫远秋
副研究员
数学学院
系统科学系
电话：
13216110989
邮箱：
yuanqiumo@seu.edu.cn
地址：
邮编：
  • 基本信息
  • 研究成果
  • 项目与荣誉
  • 社会兼职
  • 副研究员，硕士生导师。2019年博士毕业于美国爱荷华大学，专业为电子与计算机工程。研究方向为分布式算法设计，稳定性理论，多目标优化等。在控制领域顶级期刊IEEE Transactions on Automatic Control，Automatica，Systems & Control Letters发表多篇论文，担任IEEE TAC，Automatica等期刊，以及CDC，ACC等会议审稿人，并分别在2018年度和2020年度获得IEEE CDC Outstanding Student Paper Award和IFAC Finalist for the IFAC Young Author Prize。主持完成中国博士后科学基金特别资助（站前）1项，主持浙江省青年基金1项，参与科技部科技创新2030-重大项目1项。

  • 期刊论文

    Yuanqiu Mo, Soura Dasgupta, Jacob Beal. Robustness of the Adaptive Bellman-Ford Algorithm: Global Stability and Ultimate Bounds. IEEE Transactions on Automatic Control (Full Paper), 64 (10), 4121 - 4136, 2019.

    Yuanqiu Mo, Lanlin Yu. A Lyapunov Analysis of the Continuous-Time Adaptive Bellman-Ford Algorithm. Systems & Control Letters, 157, 105045, 2021.

    Yuanqiu Mo, Soura Dasgupta, Jacob Beal. A Lyapunov Analysis of a Most Probable Path Finding Algorithm. IEEE Control Systems Letters, 6, 1052-1057, 2021. 

    Yuanqiu Mo, Lanlin Yu, Changbin Yu. Global Asymptotic Stability of a General Biased Min-Consensus Protocol. IET Control Theory & Applications, 15(8), 1148 - 1156, 2021. 

    Yuanqiu Mo, Soura Dasgupta, Jacob Beal, Stability and Resilience of Distributed Information Spreading in Aggregate Computing. IEEE Transactions on Automatic Control. 68(1), 454-461, 2022.

    Yuanqiu Mo, Giorgio Audrito, Soura Dasgupta, and Jacob Beal. Near-Optimal Knowledge-Free Resilient Leader Election. Automatica (Regular Paper), 146, 110583, 2022.

    Yuanqiu Mo, Ran Xin, Huazhou Hou, and Soura Dasgupta. Finite Time Input-to-State Stability of Discrete Time Autonomous Systems. IEEE Control Systems Letters, 7, 2359-2364, 2023.

    Mi Du+,Yuanqiu Mo+(co-first author), An Li, and et al. Assessing the Surveillance Use of 2018 EFP/AAP Classification of Periodontitis: A Validation Study and Clustering Analysis. Journal of Periodontology, 94: 1254-1265, 2023.

    Yuanqiu Mo, Lanlin Yu, Haibo Du. A Small Gain Analysis for An All Pairs Shortest Path Algorithm: Global Exponential Input-to-State Stability. IEEE Transactions on Control of Network Systems, 11(2), 821-830, 2024.

    Yuanqiu Mo, Ran Xing, Huazhou Hou. A Distributed Higher-Order k-Medoids Clustering Algorithm for Network Partition. IEEE Transactions on Network Science and Engineering, 11(5), 4181-4193, 2024.

    Yuanqiu Mo, Wenwu Yu, Huazhou Hou, Soura Dasgupta. Razumikhin-type ISS Lyapunov Function and Small Gain Theorem for Discrete Time Time-delay Systems with Application to a Biased Min-consensus Protocol. Automatica (Regular Paper), accepted, 2024.


    会议论文

    Yuanqiu Mo, Jacob Beal, and Soura Dasgupta. Error in Self-Stabilizing Spanning-Tree Estimation of Collective State. In 2017 IEEE 2nd International Workshops on Foundations and Applications of Self* Systems (FAS* W), 1 - 6. IEEE, 2017. 

    Yuanqiu Mo, Jacob Beal, and Soura Dasgupta. An Aggregate Computing Approach to Self-Stabilizing Leader Election. In 2018 IEEE 3rd International Workshops on Foundations and Applications of Self* Systems (FAS* W), 112 - 117. IEEE, 2018. 

    Yuanqiu Mo, Soura Dasgupta, and Jacob Beal. Robust Stability of Spreading Blocks in Aggregate Computing. In 2018 IEEE Conference on Decision and Control (CDC), 6007 - 6012. IEEE, 2018. (Winner of 2018 CDC Outstanding Student Paper Award)

    Yuanqiu Mo, Soura Dasgupta, and Jacob Beal. Global Uniform Asymptotic Stability of a Generalized Adaptive Bellman-Ford Algorithm. In 2019 IEEE Conference on Decision and Control (CDC), 1868 - 1873, IEEE, 2019.

    Yuanqiu Mo, Giorgio Audrito, Soura Dasgupta and Jacob Beal. A Resilient Leader Election Algorithm Using Aggregate Computing Blocks. IFAC World Congress 2020, 53(2), 3336-3341, IFAC, 2020. (Finalist of 2020 IFAC World Congress Young Author Prize)

    Yuanqiu Mo, Soura Dasgupta, Jacob Beal. A Lyapunov Analysis of a Most Probable Path Finding Algorithm. In 2021 IEEE Conference on Decision and Control (CDC), IEEE, 2021.

    Yuanqiu Mo, Changbin Yu, Soura Dasgupta. Improved small gain conditions for input-to-state stability with respect to measurement functions: Discrete time networked system. In 2021 IEEE Conference on Decision and Control (CDC), 3875 – 3880, IEEE, 2021.

    Yuanqiu Mo, Soura Dasgupta. Small gain conditions for finite time input-to-state stability of interconnected discrete time systems. In 2022 IEEE Conference on Decision and Control (CDC), 7714-7719, IEEE, 2022.

    Yuanqiu Mo, Ran Xin, Huazhou Hou, and Soura Dasgupta. Finite Time Input-to-State Stability of Discrete Time Autonomous Systems. In 2023 IEEE Conference on Decision and Control (CDC), IEEE, 2023.

    Yuanqiu Mo, Wenwu Yu, Soura Dasgupta. A Lyapunov-based Small-gain Theorem for Finite Time Input-to-state Stablity of Discrete Time Infinite Networks, In 2024 IEEE Conference on Decision and Control (CDC), IEEE, 2024.







  • 项目

    中国博士后科学基金特别资助（站前），18万元，主持，2020. 10 ~ 2021. 01，已结题

    浙江省自然科学基金探索项目，10万元，主持，2021. 01 ~ 2023. 12，在研

    江苏省自然科学青年基金，20万元，主持，2023. 07 ~ 2026. 06，在研

    国家自然科学青年基金，30万元，主持，2024. 01 ~ 2026. 12，在研


    荣誉

    2018 CDC Outstanding Student Paper Award (控制领域旗舰会议杰出学生论文奖)

    2020 IFAC World Congress Young Author Prize Finalist (控制领域旗舰会议最佳青年作者入围奖)

    Chair of the Session “Lyapunov Methods” at the 62nd IEEE Conference on Decision and Control (CDC 2023), Singapore