Multi-agent system privacy protection and mean convergence control method
A multi-agent system and privacy protection technology, applied in the field of multi-agent system privacy protection and mean convergence control, can solve problems such as vulnerability to network attacks, reduce the number of updates and save resources
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[0037] The technical solutions of the present invention will be further explained below through specific examples.
[0038] A method for privacy protection and mean convergence control of a multi-agent system. Firstly, an agent dynamic model and a DoS attack model are established, and then the multi-agent system is controlled by using the agent dynamic model and the DoS attack model.
[0039] Described agent dynamic model specifically is:
[0040] The dynamic model of the i-th node (agent) in the multi-agent system network is:
[0041] i,j=1,2,...,n, i≠j, n is the number of nodes in the multi-agent system network; x i (k) and x j (k) represent the i-th node s respectively i and the jth node s j State value at time k; a ii for node s i its own weight, a ij for node s i with node s j The weight between, if node s i and node s j There is a communication channel between nodes sj for node s i Neighbors of j∈N i , then a ij >0, otherwise a ij =0.
[0042] DoS att...
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