This paper investigates the distributed shortest-distance problem of multiagent systems where agents satisfy the same continuous time\ndynamics. The objective of multiagent systems is to find a common point for all agents to minimize the sum of the distances\nfrom each agent to its corresponding convex region. A distributed consensus algorithm is proposed based on local information. A\nsufficient condition also is given to guarantee the consensus. The simulation example shows that the distributed shortest-distance\nconsensus algorithm is effective for our theoretical results.
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