Foto von Fangzhou Liu

Fangzhou Liu

Technische Universität München

Lehrstuhl für Steuerungs- und Regelungstechnik (Prof. Buss)

Postadresse

Postal:
Theresienstr. 90
80333 München

Research Interests

  • Diffusion processes over complex networks: modeling, analysis and control Control of large-scale and complex systems; Opinion dynamics and information epidemics Networked control systems Process control, optimization and model predictive control Dynamic systems and sliding mode controlDiffusion processes over complex networks: modeling, analysis and control
  • Control of large-scale and complex systems
  • Opinion dynamics and information epidemics
  • Networked control systems

      Details


Short Biography

Jul. 2019 - Present Postdoc
Chair of Automatic Control Engineering,
Technische Universität München, Germany
Feb. 2018 - Mar. 2019 Visiting Ph.D
Discrete Technology and Production Automation,
University of Groningen, Netherlands
Sep. 2014 - Jul. 2019 Ph.D
Chair of Automatic Control Engineering,
Technische Universität München, Germany
Aug. 2012 - Jul. 2014 M.Sc.
Control Science and Engineering,
Harbin Institute of Technology, Harbin, China
Aug. 2008 - Jul. 2012 B.Sc.
Automation, Department of Control Science and Engineering,
Harbin Institute of Technology, Harbin, China

Open theses (Bachelor / Forschungspraxis / Master)

I am constantly looking for motivated students (EI or Math department) to work on interesting and challenging problems that arise by application of modeling, analysis and control of diffusion processes over complex networks, e.g. opinion dynamics, information epidemics, social networks and data collecting and analysis. Please do not hesitate to contact me directly to discuss possible topics.


Publications

2019

2018

2016

  • Liu, F.; Buss, M.: Optimal control for information diffusion over heterogeneous networks. Decision and Control (CDC), 2016 IEEE 55th Conference on, 2016 more…
  • Liu; F., Buss, M.: Node-Based SIRS Model on Heterogeneous Networks: Analysis and Control. IEEE American Control Conference (ACC), 2016 more… Full text (mediaTUM)

2014

  • Gao, H.; Liu, F.; Wang, T.; Yin, S.: Setpoints compensation for nonlinear industrial processes with disturbances based on fuzzy logic control. Proceedings of the IECON 2014-40th Annual Conference of the IEEE Industrial Electronics Society, IEEE, 2014, 2611-2616 more…
  • Liu, F.; Gao, H. et al.: Networked Multirate Output Feedback Control for Setpoints Compensation and Its Application to Rougher Flotation Process. IEEE Transactions on Industrial Electronics 61 (1), 2014, 460-468 more…

2013

  • Chai, T; Zhao, L.; Qiu, J.; Liu, F.; Fan, J.: Integrated network-based model predictive control for setpoints compensation in industrial processes. IEEE Transactions on Industrial Informatics 9 (1), 2013, 417-426 more…
  • Wang, Q.; Yu, C.; Gao, H.; Liu, F.: A distributed control law with guaranteed convergence rate for identically coupled linear systems. Proceedings of the 15th European Control Conference (ECC), 2013, 2286-2291 more…
  • Yin, S.; Liu, F.; Gao, H.; Qiu, J.; Chai, T.; Fan, J.; Karimi, H.: Setpoints compensation in industrial processes via multirate output feedback control. Proceedings of the 9th Asian Control Conference (ASCC), 2013, 1-6 more…
  • Yu, J.; Liu, F.; Yu, X.; Wu, C.; Wu, L.: Fault detection of discrete-time switched systems with distributed delays: input--output approach. International Journal of Systems Science 44 (12), 2013, 2255-2272 more…
  • Yu, X.; Wu, C.; Liu, F.; Wu, L.: Sliding mode control of discrete-time switched systems with time-delay. Journal of the Franklin Institute 350 (1), 2013, 19-33 more…
  • Zhao, Z.; Liu, F.; Xie, X.; Liu, X.; Tang, Z.: Asymptotic stability of bidirectional associative memory neural networks with time-varying delays via delta operator approach. Neurocomputing 117, 2013, 40-46 more…