FSG-based divinable time-varying formation tracking of multiple Lagrangian agents with unknown disturbances and directed graphs

• Published in: ISA transactions Vol. 132; pp. 278 - 291
• Main Authors: Ding, Teng-Fei, Ge, Ming-Feng, Xiong, Caihua, Liu, Zhi-Wei, Ling, Guang
• Format: Journal Article
• Language: English
• Published: United States Elsevier Ltd 01.01.2023
• Subjects: Directed graphs; Divinable time-varying formation tracking (TVFT); Flexible shape generator (FSG); Multiple Lagrangian agents; Unknown disturbances; Unknown disturbances; Flexible shape generator (FSG); Multiple Lagrangian agents; Divinable time-varying formation tracking (TVFT); Directed graphs
• ISSN: 0019-0578; 1879-2022
• DOI: 10.1016/j.isatra.2022.06.017

In this paper, a flexible shape generator (FSG) is designed to achieve the divinable transformation process of the time-varying formation, and consider the FSG-based time-varying formation tracking (TVFT) problem of multiple Lagrangian agents with unknown disturbances and directed graphs. A hierarchical control algorithm is newly designed to achieve the control goal without using the prior information of the system model and bounded disturbances, and the specific implementation of the proposed hierarchical algorithms is also provided. By using the Hurwitz criterion and adaptive system theory, the sufficient conditions are derived and the stability analysis show that the formation tracking errors of the considered system are uniform ultimate bounded. Several simulation examples are performed on five two-degree-of-freedom mechanical arms to show the effectiveness of theoretical results. •A flexible shape generator (FSG) is designed to describe and perform the transformation from one shape to another, including all possible transformation processes, including translation, rotation, scaling and switching.•A robust control method is constructed to simply reject the unknown model uncertainties and external disturbances under a uniform framework, without using the upper bound of the external disturbances directly.•A systematic solution is presented to the time-varying formation tracking problem of multiple Lagrangian agents with the general directed graphs.