Xinghu WANG 王兴虎

                   Research Associate

                Dept. of Automation, University of Science and Technology of China

                Email: xinghuw@ustc.edu.cn

                Address: Dept. of Automation, University of Science and Technology of China, Hefei, Anhui, 230027, China

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EDUCATION

n  Ph.D., Department of Automation,  University of Science and Technology of China, China 2007 to 2012

n  B.S., School of Mechanical, Electrical and Information Engineering, Shandong University, Weihai, China 2003 to 2007

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ACADEMIC QULIFICATIONS

n  Ph.D. in Control Theory and Control Engineering

        - Awarded in Nov. 2012

        - University of Science and Technology of China

        - Dissertation: The Internal Model and Controller Design for the Output Regulation Problem

n  B.S. in Information and Computing Science

- Awarded in Jul. 2007

- Shandong University

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RESEARCH INTERESTS

n  Nonlinear output regulation theory

n  Coordination control of multi-agent systems

n  Nonlinear systems and control

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PROFESSIONAL EXPERIENCES

n  Research Associate at University of Science and Technology of China

- Feb. 2015 to present

n  Postdoctoral Researcher at Academy of Mathematics and Systems Science, Chinese Academy of Sciences

- Mar. 2013 to Jan. 2015

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PUBLICATION LIST

Journal Publications

 

[1]   X. Wang, Y. Su, and D. Xu, Cooperative robust output regulation of linear uncertain multiple multivariable systems with performance constraint, Automatica, vol. 95, pp. 137–145, 2018.

[2]   X. Wang, Y. Su, and D. Xu, A nonlinear internal model design for heterogeneous second-order multi-agent systems with unknown leader, Automatica, vol. 91, pp. 27–35, 2018.

[3]  X. Wang, Z. Chen, and D. Xu, A framework for global robust output regulation of nonlinear lower triangular systems with uncertain exosystems, IEEE Transactions on Automatic Control, vol. 63, no. 3, pp. 894–901, 2018.

[4]  D. Xu, Z. Chen, and X. Wang, Global robust stabilization of nonlinear cascaded systems with integral ISS dynamic uncertainties, Automatica, vol. 80, pp. 210–217, 2017.

[5]  X. Wang, Y. Hong, P. Yi, H. Ji, and Y. Kang, Distributed optimization design of continuous-time multiagent systems with unknown-frequency disturbances, IEEE Transactions on Cybernetics, vol. 47, no. 8, pp. 2058–2066, 2017.

[6]   X. Wang, D. Xu, and H. Ji, Robust almost output consensus in networks of nonlinear agents with external disturbances, Automatica, vol. 70, pp. 303–311, 2016.

[7]   D. Xu, X. Wang, Y. Hong, Z. P. Jiang, and S. Xu, Output feedback stabilization and estimation of the region of attraction for nonlinear systems: a vector control Lyapunov function perspective, IEEE Transactions on Automatic Control, vol. 61, no. 12, pp. 4034–4040, 2016.

[8]   X. Wang, Y. Hong, and H. Ji, Distributed optimization for a class of nonlinear multiagent systems with disturbance rejection, IEEE Transactions on Cybernetics, vol. 46, no. 7, pp. 1655–1666, 2016.

[9]   C. Wang, X. Wang, and H. Ji, Leader-following consensus for a class of second-order nonlinear multi-agent systems, Systems & Control Letters, vol. 89, pp. 61–65, 2016.

[10]             D. Xu, X. Wang, and Z. Chen, Output regulation of nonlinear output feedback systems with exponential parameter convergence, Systems & Control Letters, vol. 88, pp. 81–90, 2016.

[11]             D. Xu, X. Wang, Y. Hong, and Z. P. Jiang, Global robust distributed output consensus of multi-agent nonlinear systems: An internal model approach, Systems & Control Letters, vol. 87, pp. 64–69, 2016.

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

[13]             X. Wang, D. Xu, and Y. Hong, Consensus control of nonlinear leader-follower multi-agent systems with actuating disturbances, Systems & Control Letters, vol. 73, pp. 58–66, 2014.

[14]             X. Wang, Y. Hong, and H. Ji, Adaptive multi-agent containment control with multiple parametric uncertain leaders, Automatica, vol. 50, no. 9, pp. 2366–2372, 2014.

[15]             D. Xu, Y. Hong, and X. Wang, Distributed output regulation of nonlinear multi-agent systems via host internal model, IEEE Transactions on Automatic Control, vol. 59, no. 10, pp. 2784–2789, 2014.

[16]             X. Wang, H. Ji, and C. Wang, Output regulation for a class of infinite dimensional systems with an unknown exosystem, Asian Journal of Control, vol. 16, no. 5, pp. 1548–1552, 2014.

[17]             X. Wang, H. Ji, and J. Sheng, Output regulation problem for a class of SISO infinite dimensional systems via a finite dimensional dynamic control, Journal of Systems Science and Complexity, vol. 27, no. 6, pp. 1172–1191, 2014.

[18]             X. Wang, Y. Hong, and P. Yi, Dynamic optimization for multi-agent systems with external disturbances, Control Theory and Technology, vol. 12, no. 2, pp. 132–138, 2014.

[19]             X. Wang and H. Ji, Leader-follower consensus for a class of nonlinear multi-agent systems, International Journal of Control, Automation, and Systems, vol. 10, no. 1, pp. 27–35, 2012.

 

Conference Publications

[1]   X. Wang, Y. Su, and D. Xu, Control of second-order nonlinear multi-agent systems with unknown leaders, In: Proceedings of the 36th Chinese Control Conference, pp. 8679–8683, 2017.

[2]   X. Wang, D. Xu, Y. Hong, and H. Ji, Cooperative output feedback design for networks of strict-feedback systems having high relative degrees, In: The 12th IEEE International Conference on Control & Automation, pp. 403–407, 2017.

[3]   X. Wang, Y. Su, and D. Xu, Internal model-based synthesis for networks of multiple multivariable systems, In: Proceedings of the 29th Chinese Control and Decision Conference, pp. 5442–5447, 2017.

[4]   X. Wang, D. Xu, and H. Ji, Robust H-infinity almost output consensus design for heterogeneous nonlinear multi-agent systems, In: The 12th IEEE International Conference on Control & Automation, pp. 744–748, 2016.

[5]   X. Wang, D. Xu, and H. Ji, Consensus of heterogeneous multi-agent nonlinear systems with unknown leaders, Proceedings of the 35th Chinese Control Conference, pp. 8297–8301, 2016.

[6]   D. Xu, X. Wang, Y. Bo, and G. Wen, Consensus of heterogeneous multi-agent nonlinear systems with node and edge uncertainties, In: Proceedings of the 34th Chinese Control Conference, pp. 7575–7579, 2015.

[7]   X. Wang, D. Xu, and Y. Hong, Semi-global leader-following consensus of nonlinear multi-agent systems with actuating disturbances, In: The 11th IEEE International Conference on Control & Automation, pp. 123–127, 2014.

[8]   X. Wang, Y. Hong, and P. Yi, Distributed optimization of multi-agent systems with unknown frequency disturbances, In: Proceedings of the 33rd Chinese Control Conference, pp. 1772–1777, 2014.

[9]   D. Xu, X. Wang, Y. Hong, and Z. P. Jiang, Consensus of Multi-agent Nonlinear Systems by Directed Interactions: An Internal Model Approach, In: The 11th World Congress on Intelligent Control and Automation, pp. 2567–2571, 2014.

[10]             D. Xu, X. Wang, and Y. Hong, Output consensus of homogeneous multi-agent nonlinear systems, In: Proceedings of the 33rd Chinese Control Conference, pp. 1751–1754, 2014.

[11]             X. Wang, D. Xu, and H. Ji, Contraction-based internal model design and application to output synchronization, In: The 32nd Chinese Control Conference, pp. 7291–7295, 2013.

[12]             D. Xu, X. Wang, and Y. Hong, Distributed regulator design for multi-agent systems with uncertain controller networks, In: The 32nd Chinese Control Conference, pp.2980–2985, 2013.

[13]             C. Wang, X. Wangg, and H. Ji, Leader-following consensus for an integrator type nonlinear multi-agent systems using distributed adaptive protocol, In: The 10th IEEE International Conference on Control & Automation, pp. 1166–1171, 2013.

[14]             X. Wang and H. Ji, Stochastic H-infinity almost disturbance decoupling for a class of stochastic nonlinear systems, In: Proceedings of the 48th IEEE Conference on Decision and Control held jointly with 28th Chinese Control Conference, pp. 2887–2892, 2009.

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RESEARCH GRANTS

n  Principal Investigator, the National Natural Science Foundation of China (No. 61873250)

- 2019.01–2022.12

n  Principal Investigator, the National Natural Science Foundation of China (No.61503359)

- 2016.01–2018.12

n  Principal Investigator, the Anhui Provincial Natural Science Foundation (No.1608085QF152)

- 2016.07–2018.06

n  Principal Investigator, the Fundamental Research Funds for the Central Universities (No. WK 2100100027)

-2016.01-2017.12