Systems Science & Control Engineering (Dec 2024)

Impulsive tracking synchronization control of networked robotic manipulator systems in the task space

  • Mihua Ma,
  • Qingxia Dai

DOI
https://doi.org/10.1080/21642583.2024.2420914
Journal volume & issue
Vol. 12, no. 1

Abstract

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This study investigates the impulsive tracking synchronization control of networked robotic manipulator systems based on Lagrangian systems. In the task space, the end-effector positions of networked robotic manipulators can synchronize and track a desired trajectory by designing an impulsive controller. Based on impulsive control, some algebraic synchronization criteria are derived. As a direct application of the theoretical results, tracking synchronization of six double-link robotic manipulators in the task space is discussed in detail. Numerical simulations are given to demonstrate the effectiveness and feasibility of the proposed control strategy.

Keywords