Limited communication information fusion algorithm based on complex network for multi-robot system companies

This paper proposes to research the multi-robot system distributed information fusion, with combination of the digital signal processing and the consistency of complex networks. Adaptive estimation fusion algorithm is developed for the multi-robot system distributed estimation fusion. Under the proposed strategy, robots adaptively update weighted matrix according to its reference signal value, and the instant estimate renewal process is described as the corresponding high order filter. The theoretical aspect of the proposed scheme has been analyzed using mean square estimation error and average consistent error, and the effectiveness of the proposed algorithm has been confirmed by results of analysis, computer simulations and experiments.