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

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. Severa...

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Published inComplexity (New York, N.Y.) Vol. 2020; no. 2020; pp. 1 - 18
Main Authors Xu, Guanghui, Chen, Chao-Yang, Zhan, Xi-Sheng, Liang, Chang-Duo, Ge, Ming-Feng, Chen, Jie
Format Journal Article
LanguageEnglish
Published Cairo, Egypt Hindawi Publishing Corporation 2020
Hindawi
John Wiley & Sons, Inc
Hindawi Limited
Wiley
Subjects
Algorithms
Computer simulation
Control algorithms
Feedback control
Kinematics
Parameter uncertainty
Researchers
Robotics
Robots
Stability
Task space
Tracking
Iran
China
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Summary: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.
ISSN:1076-2787
1099-0526
DOI:10.1155/2020/8357428