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A New Algorithm for Distributed Control Problem with Shortest-Distance Constraints

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  • Yu Zhou
  • Wenfeng Zheng
  • Zhixi Shen

Abstract

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

Suggested Citation

  • Yu Zhou & Wenfeng Zheng & Zhixi Shen, 2016. "A New Algorithm for Distributed Control Problem with Shortest-Distance Constraints," Mathematical Problems in Engineering, Hindawi, vol. 2016, pages 1-6, December.
    • Handle: RePEc:hin:jnlmpe:1604824
    DOI: 10.1155/2016/1604824
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