In the complex power-driven control system, the existing pinning flocking control strategies have shortcomings
in preserving topology connectivity and decreasing power consumption. Therefore, a pinning flocking control algorithm for
power-driven multi-agent networks based on local estimation is proposed. Firstly, the power iterative consensus estimation
algorithm is used to dynamically estimate the algebraic connectivity of multi-agent network. Then, the algorithm dynamically
adjusts individual launch radius according to the estimate of algebraic connectivity and the power restriction, so that it can
preserve the global connectivity of the multi-agent network during motion and effectively reduce the power consumption.
Finally, the simulation results show the effectiveness of the proposed control scheme.