Yutao Tang – Selected Publications

Here are some preprints and a list of selected publications. For a complete list, please see my CV or Google Scholar profile.

Preprints

  • Y. Tang, Y. Zhang, R. Li, and X. Wang. On measurement disturbances in distributed least squares solvers for linear equations. Submitted for publication. [arXiv]

Journal Papers

  • Y. Tang, R. Li, H. Liu, and K. Zhu. Event-triggered design for optimal output consensus of high-order multi-agent systems. International Journal of Control, accepted and online. [URL]

  • Y. Zhang, Y. Tang, Z. Tu, and Y. Hong. Distributed algorithm for solving variational inequalities over time-varying unbalanced digraphs. Control Theory and Technology, 22: 431–441, 2024. [PDF]

  • R. Yu, Y. Tang, P. Yi, and L. Li. Distributed Nash equilibrium seeking dynamics with discrete communication. IEEE Transactions on Neural Networks and Learning Systems, 35(3): 4347–4353, 2024. [PDF]

  • K. Zhu, Y. Tang. Primal-dual varepsilon-subgradient method for distributed optimization. Journal of Systems Science and Complexity, 36: 577–590, 2023. [PDF]

  • Y. Tang, P. Yi. Nash equilibrium seeking for high-order multi-agent systems with unknown dynamics. IEEE Transactions on Control of Network Systems, 10(1): 321–332, 2023. [PDF]

  • Y. Tang, D. Wang. Neural-network-based constrained optimal coordination for heterogeneous uncertain nonlinear multi-agent systems. International Journal of Robust and Nonlinear Control, 32(14): 8134–8146, 2022. [PDF]

  • Y. Tang, P. Yi, Y. Zhang, D. Liu. Nash equilibrium seeking over directed graphs. Autonomous Intelligent Systems, 2: 7, 2022. [PDF]

  • Y. Tang, K. Zhu. Optimal consensus for uncertain multi-agent systems by output feedback. International Journal of Robust and Nonlinear Control, 32(4): 2084–2099, 2022. [PDF]

  • Y. Tang, X. Wang. Optimal output consensus for nonlinear multi-agent systems with both static and dynamic uncertainties. IEEE Transactions on Automatic Control, 64(4): 1733–1740, 2021. [PDF]

  • Y. Tang. Multi-agent optimal consensus with unknown control directions. IEEE Control Systems Letters, 5(4): 1201–1206, 2021. [PDF]

  • Y. Tang. Distributed optimal steady-state regulation for high-order multi-agent systems with external disturbances. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 50(11): 4828–4835, 2020. [PDF]

  • Y. Tang, Z. Deng, and Y. Hong. Optimal output consensus of high-order multi-agent systems with embedded technique. IEEE Transactions on Cybernetics, 49(5): 1768–1779, 2019. [PDF]

  • Y. Tang. Distributed optimization for a class of high-order nonlinear multi-agent systems with unknown dynamics. International Journal of Robust and Nonlinear Control, 28(17): 5545–5556, 2018. [PDF]

  • Y. Tang, Y. Hong, and X. Wang. Distributed output regulation for a class of nonlinear multi-agent systems with unknown-input leaders. Automatica, 62: 154–160, 2015. [PDF]

  • Y. Tang, Y. Hong. Hierarchical control design of multi-agent networks with approximate simulation. Acta Automatica Sinica, 39(6): 868–874, 2013. [PDF]

Conference Papers

  • Z. Jiang, C. Xu, Y. Zhang, and Y. Tang. Minimization of finite sums with disturbed gradients. In Proc. of 43rd Chinese Control Conference (CCC): 5955–5959, Kunming, 2024.

  • X. Zheng, Y. Zhang, C. Hu, and Y. Tang. Online Nash equilibrium seeking with time-varying payoff functions. In Proc. of 14th Asian Control Conference (ASCC): 2402–2406, Dalian, 2024.

  • Y. Zhang, Y. Tang. Distributed projection algorithm for solving variational inequalities. In Proc. of 8th International Conference on Network Intelligence and Digital Content (IC-NIDC): 285–289, Beijing, 2023.

  • Y. Tang, X. Zheng. Nash equilibrium seeking for a class of uncertain nonlinear multi-agent systems. In Proc. of 42nd Chinese Control Conference (CCC): 809–813, Tianjin, 2023.

  • Y. Tang. Distributed Nash equilibrium seeking algorithms for uncertain linear multi-agent systems. In Proc. of 13th Asian Control Conference (ASCC): 2277–2281, Jeju Island, 2022.

  • Y. Tang, H. Liu, R. Li, and K. Zhu. Distributed optimization for high-order multi-agent systems via event-triggered control. In Proc. of 40th Chinese Control Conference (CCC): 5385–5389, Shanghai, 2021.

  • F. Chen, J. Zheng, and Y. Tang. Modified LSTM-CNN model for arrhythmia classification with mixed handcrafted features. In Proc. of 33rd Chinese Control and Decision Conference (CCDC): 1858–1862, Kunming, 2021. (Most Popular Academic Works Award)

  • Y. Tang, X. Wang. Optimal output consensus for a class of uncertain nonlinear multi-agent systems. In Proc. of 2018 American Control Conference (ACC): 2059–2064, Milwaukee, 2018.

  • Y. Tang. A hierarchical control approach for average consensus over heterogeneous multi-agent systems. In Proc. of 35th Chinese Control Conference (CCC): 7622–7627, Chengdu, 2016.

  • Y. Tang, Y. Hong, and P. Yi. Distributed optimization design based on passivity technique. In Proc. of 12th IEEE International Conference on Control & Automation (ICCA): 732–737, Kathmandu, 2016.

  • Y. Tang. Coordination of heterogeneous nonlinear multi-agent systems with prescribed behaviors. In Proc. of 34th Chinese Control Conference (CCC): 7451–7456, Hangzhou, 2015.

  • Y. Tang, Y. Hong. Hierarchical control design of nonlinear systems based on approximate simulation. In Proc. of 32nd Chinese Control Conference (CCC): 285–290, Xi'an, 2013.

Books

  • Y. Tang. Optimal Consensus Algorithms for Uncertain High-order Multi-agent Systems. Beijing: BUPT Press, 2023. (in Chinese)   [Cover]

  • Y. Tang. Abstraction-based Hierarchical Control of Complex Systems and its Applications. Beijing: Science Press, 2018. (in Chinese)  [Cover]

PhD Thesis

  • Y. Tang, Hierarchical control and coordination of nonlinear and multi-agent systems, PhD Thesis. Institute of Systems Science, Chinese Academy of Sciences, 2014. Supervisor: Yiguang Hong.