Scaled consensus seeking in multiple non-identical linear autonomous agents.

Scaled consensus problem is studied for a heterogeneous multi-agent system composed of non-identical stable linear agents, and a leader-following scaled consensus algorithm is designed. By using frequency-domain analysis, consensus conditions are obtained for the agents without communication delay under undirected and directed topologies, respectively. Moreover, consensus criteria are also gained for the agents suffering from communication delay under directed topology. Simulation examples show the correctness of theoretical results.

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