In this paper, the stochastic event-triggered multiple targets formation tracking (MTFT) problem is studied for a group of second-order agents with incomplete measurement. It aims at driving agents to reach the desired formation and track the convex hull of multiple dynamic targets. By using the high-order sliding mode observer and velocity filter, a MTFT algorithm is designed without the requirement of velocity and acceleration measurement. In addition, the stochastic event-triggered strategy is involved to reduce the communication consumption among agents. Finally, a numerical example is given to illustrate the effectiveness of the stochastic event-triggered MTFT algorithm.

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Stochastic Event-Triggered Multiple Targets Formation Tracking of Second-Order Agents with Incomplete Measurement

  • Wenfei Zhang,
  • Zhong Liu,
  • Guannan Chang,
  • Luqi Jing

摘要

In this paper, the stochastic event-triggered multiple targets formation tracking (MTFT) problem is studied for a group of second-order agents with incomplete measurement. It aims at driving agents to reach the desired formation and track the convex hull of multiple dynamic targets. By using the high-order sliding mode observer and velocity filter, a MTFT algorithm is designed without the requirement of velocity and acceleration measurement. In addition, the stochastic event-triggered strategy is involved to reduce the communication consumption among agents. Finally, a numerical example is given to illustrate the effectiveness of the stochastic event-triggered MTFT algorithm.