Project: Control and Controllability of Dynamic Complex Networks: Theories and Strategies

Many real-life problems can be modelled as system control problems, typically with the objectives of (i) minimizing the number of external controllers needed, also known as the controllability problem; or (ii) minimizing the cost for driving the system to the targeted final state, also known as the optimal control problem.

We studied theories and algorithms for these two critically important problems, and played a pioneering role in distributed control and optimal control of large-scale complex networks. We have also studied on the target control, sufficient control and spatiotemporal control of complex systems. 

DynamicComplexNetworks

Reference:

  • J. Zhou, Y. Zhou, G. Xiao, and H. E. Stanley, "Control of mobile chaotic agents with jump-based connect adaption strategy," New Journal of Physics, vol. 22, 073032, July 2020.
  • M. Meng, G Xiao, and B. Li, "Adaptive Consensus for Heterogeneous Multi-Agent Systems Under Sensor and Actuator Attacks," Automatica, Vol. 122, 109242, Dec. 2020. 
  • M. Meng, G. Xiao, C. Zhai, and G. Li, “Controllability of Markovian Jump Boolean Control Networks,” Automatica, vol. 106, pp. 70-76, Aug. 2019. 
  • G. Li, L. Deng, G. Xiao, P. Tang, W. Hu, C. Wen, J. Pei, L. Shi, and H. E. Stanley, "Enable Control and Optimal Control of Complex Networks with Local Topological Information," Scientific Reports, vol. 8, 4593, March 2018.

 

For more information, you may contact our Professor Xiao Gaoxi.