The invention provides a multi-agent
system consistency
algorithm based on dynamic autonomous reinforcement weak connection. The multi-agent
system consistency
algorithm comprises the steps of neighbor
perception, spokesman
selection strategy, connection strength index calculation, weight calculation, consistency
algorithm updating and the like. Firstly, redundant neighbors are effectively removed through a spokesman
selection strategy, and the calculation process is simplified. Secondly, a novel index is introduced to evaluate the connection strength in the
distributed switching topology, a reasonable weight matrix is designed, intelligent agents at the two ends of the weak connection are promoted to gather together, and therefore connection breakage is prevented. On the whole, the
system can still be prevented from being split into a plurality of clusters under the condition of no
connectivity maintenance algorithm, and finally consistency is achieved. The algorithm effectively solves the problem that in the prior art,
connectivity needs to be maintained with high computing power or the system is split due to lack of
connectivity maintenance.