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Cooperative behavior design for multi-agent systems with collective tasks isa critical issue in promoting swarm intelligence. This paper investigatescooperative control for a multi-channel system, where each channel is managedby an agent expected to self-organize a controller to stabilize the systemcollaboratively by communicating with neighbors in a network. Integrating astate decomposition technique and a fusion approach, a fully distributedprivacy-preserving mechanism is proposed to shield agents' private informationfrom neighbors' eavesdropping. Moreover, the cost of introducing theprivacy-preserving mechanism and the benefit of adding more channels to thesystem are quantitatively analyzed. Finally, comparative simulation examplesare provided to demonstrate the effectiveness of the theoretical results.

Cooperative Control of Multi-Channel Linear Systems with Self-Organizing Private Agents