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

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

Complexity, 2020, vol. 2020, 1-18

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.

Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:hin:complx:8357428

DOI: 10.1155/2020/8357428

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