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]
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]

Journal Papers

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]
K. Zhu, Y. Tang. Primal-dual -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, 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

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.
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.