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Multiple Time-Varying Formation of Networked Heterogeneous Robotic Systems via Estimator-Based Hierarchical Cooperative Algorithms

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  • Ming-Feng Ge
  • Chang-Duo Liang
  • Xi-Sheng Zhan
  • Chao-Yang Chen
  • Guanghui Xu
  • Jie Chen

Abstract

This paper investigates both the time-varying formation and multiple time-varying formation tracking problems of networked heterogeneous robotic systems (NHRSs) with parameter uncertainties and external disturbances in the task space. Each robot inside can be either redundant or nonredundant. Several novel estimator-based hierarchical cooperative (EBHC) algorithms are designed to achieve both the tracking task and the possible preset subtasks for redundant robots. Besides, the designed estimator algorithms guarantee that each robot can obtain the accurate information of their corresponding leaders. By employing Lyapunov stability and input-to-state stability, sufficient conditions on the asymptotic stability of the error closed-loop system are derived. Finally, two simulation examples are presented to verify the effectiveness of the proposed algorithms.

Suggested Citation

  • Ming-Feng Ge & Chang-Duo Liang & Xi-Sheng Zhan & Chao-Yang Chen & Guanghui Xu & Jie Chen, 2020. "Multiple Time-Varying Formation of Networked Heterogeneous Robotic Systems via Estimator-Based Hierarchical Cooperative Algorithms," Complexity, Hindawi, vol. 2020, pages 1-18, February.
  • Handle: RePEc:hin:complx:8357428
    DOI: 10.1155/2020/8357428
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    Cited by:

    1. Jingchen Wang & Qihe Shan & Jun Zhu & Xiaofeng Cheng & Baoze Wei, 2023. "Algebraic-Connectivity-Based Multi-USV Distributed Formation Method via Adding a Reverse Edge," Mathematics, MDPI, vol. 11(13), pages 1-22, June.

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