Structural controllability index of uniform topological segmentation algorithm for complex networks
The structural controllability index K is a measure of the control time step for the network system to reach the controllable state.A uniform topological partitioning algorithm was used to select the appropriate set of driving nodes to obtain a lower structural controllability index while balancing the control time step and control cost of the network.The feasibility of the algorithm was verified by proving that the structural controllability index of the segmented subsystems of the system is the upper bound relation of the structural controllability index of the original network.The simulation results show that the algorithm achieves the effect of balancing the network control time step and control cost.