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We present conditions for a nonlinear single integrator multi-agent system to achieve a consensus on the derivatives of the agents' states, e.g. their speed, by comparing the state information, e.g. their position. This consensus property is even more surprising because the states themselves do not necessarily reach a consensus. We prove that consensus is reached even if the communication network...
We investigate the robustness of consensus schemes for linear Multi-Agent Systems (MAS) to feedback delays. To achieve this, we develop a unified framework that considers linear MAS models with different feedback delays, e.g. affecting only the neighbor’s output, or affecting both the agent’s own and its neighbors’ output. This framework has the advantage of providing scalable, simple, and accurate...
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