Silun Zhang

Publications

Preprint

  1. P8 G. Vasileiou, L. Zhang, S. Zhang. A No-Regret Framework for Adaptive Incentive Design, 2026. arXiv Overview
  2. P7 A. Sheng, A. McAvoy, Y. Tian, S. Zhang, A. Fontan, and J. B. Plotkin. Hyperedge approximation for stochastic processes on higher-order networks, 2026. arXiv Overview
  3. P6 G. Vasileiou, L. Zhang, S. Zhang. Incentive Design without Hypergradients: A Social-Gradient Method, 2026. arXiv Overview
  4. P5 L. Zhang, B. Wahlberg, S. Zhang. Stochastic Adaptive Control for Systems with Nonlinear Parameterization: Almost Sure Stability and Tracking, 2026. arXiv Overview
  5. P4 G. Vasileiou, L. Zhang, S. Zhang. Adaptive Incentive Design with Regret Minimization, 2026. arXiv
  6. P3 M. Fernando, P. Ögren, S. Zhang. Learning Ordinal Response Policies in Rank-Based Stochastic Prize-Collecting Games, 2025. arXiv
  7. P2 L. Zhang, S. Zhang. Online learning for nonlinear dynamical systems without the iid condition, 2025. arXiv Overview
  8. P1 S. Zhang, T. Timoudas, and M. Dahleh. Network Consensus with Privacy: A Secret Sharing Method. arXiv

Journal

  1. J8 D. Huang, Y. Sun, S. Zhang. Safe Reinforcement Learning for Multi-Agent Systems Based on Relative-Degree Decoupling, IEEE/CAA Journal of Automatica Sinica, 2026.
  2. J7 T. Timoudas, S. Zhang, S. Magnusson, and C. Fischione. A General Framework to Distribute Iterative Algorithms with Localized Information over Networks. IEEE Transactions on Automatic Control, vol. 68, no. 12, pp. 7358-7373, 2023. IEEE
  3. J6 S. Zhang, A. Ringh, X. Hu, and J. Karlsson. Modeling collective behaviors: A moment-based approach. IEEE Transactions on Automatic Control, vol. 66, no. 1, pp. 33-48, 2021. IEEE arXiv
  4. J5 S. Zhang, F. He, Y. Hong, and X. Hu. An intrinsic approach to formation control of regular polyhedra for reduced attitudes. Automatica, 111:108619, 2021. arXiv
  5. J4 S. Zhang, T. Timoudas, and M. Dahleh. Consensus with preserved privacy against neighbor collusion. Control Theory and Technology, 18(4): 409-418, 2021. arXiv
  6. J3 S. Zhang, W. Song, F. He, Y. Hong, and X. Hu. Intrinsic tetrahedron formation of reduced attitude. Automatica, 87:375-382, 2019. DOI arXiv
  7. J2 J. Wei, S. Zhang, A. Adaldo, J. Thunberg, X. Hu, and K. Johansson. Finite-time attitude synchronization with distributed discontinuous protocols. IEEE Transactions on Automatic Control, 63(10):3608-3615, 2019. IEEE
  8. J1 W. Song, J. Markdahl, S. Zhang, X. Hu, and Y. Hong. Intrinsic reduced attitude formation with ring inter-agent graph. Automatica, 85:193-201, 2018. DOI

Peer-Reviewed Conference

  1. C15 WJA van Weerelt, L. Zhang, S. Zhang, N. Bastianello. Self-Identifying Internal Model-Based Online Optimization, IFAC 2026. arXiv
  2. C14 G. Vasileiou, L. Zhang, S. Zhang. Adaptive Incentive Design with Regret Minimization, ECC 2026. arXiv
  3. C13 A. Fontan, S. Zhang. Collective decision-making dynamics in hypernetworks. 2025 IEEE 64th Conference on Decision and Control (CDC), 6222-6227. IEEE, 2025.
  4. C12 S. Zhang, A. Ringh, X. Hu, and J. Karlsson. A moment-based approach to modeling collective behaviors. In 2018 IEEE Conference on Decision and Control (CDC), pages 1681-1687. IEEE, 2018.
  5. C11 S. Zhang, F. He, and X. Hu. Exponential stability of formations for reduced attitudes: A coordinates free approach. In 2018 37th Chinese Control Conference (CCC), pages 7215-7220. IEEE, 2018.
  6. C10 J. Wei, S. Zhang, A. Adaldo, X. Hu, and K. Johansson. Finite-time attitude synchronization with a discontinuous protocol. In 2017 13th IEEE International Conference on Control & Automation (ICCA), pages 192-197. IEEE, 2017.
  7. C9 S. Zhang, F. He, Y. Hong, and X. Hu. Intrinsic formation control of regular polyhedra for reduced attitudes. In 2017 IEEE 56th Annual Conference on Decision and Control (CDC), pages 1002-1007. IEEE, 2017.
  8. C8 S. Zhang, F. He, Y. Yao, and X. Hu. Spherical formation of regular tetrahedra. In 2017 36th Chinese Control Conference (CCC), pages 1317-1322. IEEE, 2017.
  9. C7 S. Zhang, W. Song, F. He, Y. Yao, and X. Hu. Spherical cyclic formation control. In 2016 35th Chinese Control Conference (CCC), pages 8207-8212. IEEE, 2016.
  10. C6 S. Mou, F. He, and S. Zhang. Formation tracking based on target points. IFAC-PapersOnLine, 48(28):921-926, 2015.
  11. C5 L. Ma, F. He, C. Sun, L. Wang, S. Zhang, and Y. Yao. Finite time dynamical formation control of multi-agent systems. In 2015 34th Chinese Control Conference (CCC), pages 7398-7403. IEEE, 2015.
  12. C4 S. Zhang, F. He, and Y. Yao. Target recognition in the terminal guidance process: A novel algorithm for resource allocation. IFAC-PapersOnLine, 48(28):835-840, 2015.
  13. C3 B. Yang, T. Zheng, S. Zhang, and Y. Yao. Analysis and modeling of terminal guidance system for a flight vehicle with side-window detection. In Proceedings of the 33rd Chinese Control Conference, pages 1051-1056. IEEE, 2014.
  14. C2 S. Zhang, F. He, Y. Yao, J. Wu, and L. Li. Low-speed performance analysis and design of velocity servo control system. In Proceedings of the 33rd Chinese Control Conference, pages 8000-8005. IEEE, 2014.
  15. C1 X. Di, C. Hao, J. Che, Z. Tan, and S. Zhang. Comparison on the anti-windup control methods of air-breathing hypersonic vehicle. In Proceedings of the 33rd Chinese Control Conference, pages 686-691. IEEE, 2014.