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Yutao Tang – Publications

Most of my papers are listed here, see also my Google Scholar or ResearchGate profile. Please contact me if you need further information.

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]

  • R. Li, Y. Zhang, Y. Tang, and S. Li. Observer-based leader-following consensus for positive multi-agent systems over time-varying graphs. Submitted for publication. [arXiv]

  • Y. Tang, H. Liu, R. Li, and K. Zhu. Event-triggered design for optimal output consensus of high-order multi-agent systems. Submitted for publication. [arXiv]

  • R. Li, Y. Tang, and S. Li. Positive consensus for heterogeneous multi-agent systems. Submitted for publication. [arXiv]

Journal Papers

  1. 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, accepted and online. [URL]

  2. K. Zhu, Y. Tang. Primal-dual varepsilon-subgradient method for distributed optimization. Journal of Systems Science and Complexity, accepted and online. [URL]

  3. 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]

  4. K. Zhu, Y. Zhang, and Y. Tang. Distributed optimization with inexact oracle. Kybernetika, 58(4): 578–592, 2022. [PDF]

  5. Y. Tang, H. Qin. Decision-making and control co-design for multi-agent systems: a hierarchical design methodology. Control Theory and Technology, 20(3): 439–441, 2022. [PDF]

  6. 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]

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

  8. 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]

  9. 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]

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

  11. Y. Tang, H. Zhu, and X. Lv. Achieving optimal output consensus for discrete-time linear multi-agent systems with disturbance rejection. IET Control Theory & Applications, 15(5):749–757, 2021. [PDF]

  12. 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]

  13. 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]

  14. 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]

  15. Y. Tang, P. Yi. Distributed coordination for a class of nonlinear multi-agent systems with regulation constraints. IET Control Theory & Applications, 12(1): 1–9, 2018. [PDF]

  16. W. Song, Y. Tang, Y. Hong, and X. Hu. Relative attitude formation control of multi-agent systems. International Journal of Robust and Nonlinear Control, 27(18): 4457–4477, 2017. [PDF]

  17. Y. Tang. Coordination of heterogeneous nonlinear multi-agent systems with prescribed behaviors. International Journal of Control, 90(10): 2197–2205, 2017. [PDF]

  18. Y. Tang. Output average consensus over heterogeneous multi-agent systems via two-level approach. Kybernetika, 53(2): 282–295, 2017. [PDF]

  19. Y. Tang. Robust consensus tracking of heterogeneous multi-agent systems under switching topologies. Journal of Systems Science and Complexity, 19(5):1226–1237, 2016. [PDF]

  20. Y. Tang. Coordination of multi-agent systems under switching topologies via disturbance observer-based approach. International Journal of Systems Science, 47(16):3900–3907, 2016. [PDF]

  21. 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]

  22. Y. Tang. Output consensus of nonlinear multi-agent systems with unknown control directions. Kybernetika, 51(2):335–346, 2015. [PDF]

  23. Y. Tang. Leader-following coordination problem with an uncertain leader in a multi-agent system. IET Control Theory & Applications, 8(10): 773–781, 2014. [PDF]

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

  25. L. Gao, Y. Tang, W. Chen, and H. Zhang. Consensus seeking in multi-agent systems with an active leader and communication delays. Kybernetika, 47 (5):773–789, 2011. [PDF]

Conference Papers

  1. Y. Zhang, R. Li, Y. Tang. Solving linear equations with disturbance rejection. In Proc. of 41st Chinese Control Conference (CCC): 4926–4931, Hefei, 2022.

  2. 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.

  3. K. Zhu, Y. Tang. Optimal consensus with inexact first-order information. In Proc. of 40th Chinese Control Conference (CCC): 5499–5503, Shanghai, 2021.

  4. 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.

  5. 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)

  6. Y. Tang. Distributed optimization for uncertain linear multi-agent systems by integral control. In Proc. of 16th IEEE International Conference on Control & Automation (ICCA): 546–551, Sapporo, 2020.

  7. K. Zhu, H. Zhu, and Y. Tang. On the boundedness of subgradients in distributed optimization. In Proc. of 39th Chinese Control Conference (CCC): 4912–4917, Shenyang, 2020.

  8. Y. Tang. Distributed optimization for multi-agent systems with unknown high-frequency-gain signs. In Pro. of 39th Chinese Control Conference (CCC): 599–603, Shenyang, 2020.

  9. Y. Tang, H. Zhu, and X. Lv. Distributed optimization for discrete-time linear multi-agent systems. In Proc. of 38th Chinese Control Conference (CCC): 5665–5669, Guangzhou, 2019.

  10. Y. Tang, H. Zhu. Distributed optimization for high-order nonlinear multi-agent systems with unknown dynamics. In Proc. of 37th Chinese Control Conference (CCC): 7025–7030, Wuhan, 2018.

  11. 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.

  12. Y. Tang, H. Zhu. Optimal steady-state regulation of multi-agent systems with embedded technique. In Proc. of 23rd International Symposium on Mathematical Theory of Networks and Systems (MTNS): 101–103, Hong Kong, 2018.

  13. Y. Tang. Distributed optimal steady-state regulation in linear multi-agent systems. In Proc. of 36th Chinese Control Conference (CCC): 8524–8529, Dalian, 2017.

  14. 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.

  15. Y. Tang. Output regulation with unknown-input exosystems. In Proc. of 35th Chinese Control Conference (CCC): 631–636, Chengdu, 2016.

  16. 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.

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

  18. 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.

  19. Y. Tang, Y. Hong. Hierarchical control design of nonlinear systems based on approximate simulation. In Proc. of 12th International Conference on Control Automation Robotics & Vision (ICARCV): 566–571, Guangzhou, 2012.

  20. Y. Tang, Y. Hong. Hierarchical control design of multi-agent networks with approximate simulation. In Proc. of 31st Chinese Control Conference (CCC): 285–290, Hefei, 2012.

  21. Y. Tang, Y. Hong. Control design for flexible hierarchical formation of multiple robots, In Proc. of 10th World Congress on Intelligent Control and Automation (WCICA): 3595–3600, Beijing, 2012.

  22. Y. Tang, Y. Hong. Tracking a high-dimensional active leader of switching multi-agent systems with communication delays. In Proc. of 30th Chinese Control Conference (CCC): 4926–4931, Yantai, 2011.

Book

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

Talks and Presentations

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.