Yutao Tang – Selected Publications

This page lists selected publications and preprints. For a complete list, please see my CV. Citation information is also available on my Google Scholar profile.

Preprints

Y. Zhang, Y. Tang. Distributed algorithms for finding common solutions to variational inequality problems. Submitted for publication.
W. Li, Y. Tang. Dynamic Nash equilibrium seeking for a class of nonlinear uncertain multi-agent systems. Submitted for publication. [arXiv]
Y. Tang, Y. Zhang, R. Li, and X. Wang. On measurement disturbances in distributed least squares solvers for linear equations. Submitted for publication. [arXiv]

Selected 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, 98(6): 1343–1350, 2025. [PDF]
R. Li, Y. Zhang, Y. Tang, and S. Li. Positive consensus for heterogeneous multi-agent systems over jointly connected graphs. IEEE Control Systems Letters, 8: 2451–2456, 2024. [PDF]
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]

Selected Conference Papers

K. Fan, J. Xu, Y. Zhang, and Y. Tang. Tunable input-to-state safety control barrier functions via optimal decay. In Proc. of 2026 IEEE International Conference on Unmanned Systems (ICUS): 2485–2490, Qingdao, 2026.
C. Hu, C. Xu, Q. Sun and Y. Tang. NE Seeking for linear multi-agent systems with time-varying costs. In Proc. of IEEE 20th International Conference on Control and Automation (ICCA): 576–581, Almaty, Kazakhstan, 2026.
Z. Zhuang, Y. Tang, C. Zhong, and S. Meng. Optical flow graph clustering based visual SLAM in dynamic environments. In Proc. of 37th Chinese Control and Decision Conference (CCDC): 5059–5064, Xiamen, 2025.
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]

Ph.D. Thesis

Y. Tang, Hierarchical Control and Coordination of Nonlinear and Multi-Agent Systems. Ph.D. Thesis, Institute of Systems Science, Chinese Academy of Sciences, 2014. Supervisor: Yiguang Hong.