Controlling of complex nonlinear networks: A trade-off between time and energy
- Date: Tuesday 27 February 2018, 11:00 – 12:00
- Location: Mathematics Level 8, MALL 1, School of Mathematics
- Type: Leeds applied nonlinear dynamics seminars, Applied Mathematics seminars
- Cost: Free
Yongzheng Sun, China University of Mining and Technology, and Fudan University. Part of the applied mathematics Leeds applied nonlinear dynamics seminars series.
Recent years have witnessed a growth of interest in controlling complex networks. Controlling complex nonlinear networks is largely an unsolved problem at the present. Existing works focus either on open-loop control strategies and their energy consumptions or on closed-loop control schemes with an infinite-time duration. In this talk, I will discuss the controlling of complex nonlinear networks. We articulate a finite-time, closed-loop controller with an eye toward the physical and mathematical underpinnings of the trade-off between the control time and energy as well as their dependence on the network parameters and structure. The closed-loop controller is tested on a large number of real systems including stem cell differentiation, food webs, random ecosystems, and spiking neuronal networks.