Consensus Control of Heterogeneous Time-varying Multi-agent Systems with Multiple Sensors

Abstract

A linear optimal data fusion algorithm is proposed for a class of heterogeneous time-varying multi-agent systems with multiple sensors in a single intelligence, and the data fusion step of the single intelligence is completed according to the Kalman filter algorithm. A consensus control protocol is then set according to the optimal estimate of the data fusion to achieve consistency control, and the final simulation shows the effectiveness of the proposed algorithm.