TY - GEN
T1 - Multi-targets Formation Tracking for Lipschitz-Type Nonlinear Systems via Event-Triggered Scheme
AU - Zhang, Wenfei
AU - Li, Haiqing
AU - Zhao, Yangyang
AU - Jing, Luqi
AU - Zhao, Yu
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
PY - 2024
Y1 - 2024
N2 - This paper investigates the multi-targets formation tracking (MTFT) problem for multiple autonomous agents described by Lipschitz-type nonlinear dynamics. The objective is to facilitate the formation of the desired time-varying configuration among locally connected agents, and enable them to track the convex hull of multiple targets. Specifically, each agent is granted the flexibility to explore an appropriate number of targets, contingent upon its individual capability. Without requiring the continuous interactions among agents, an event-triggered MTFT algorithm is designed to reduce the communication consumption. By leveraging the principles of Lyapunov stability theory, it is substantiated that the MTFT problem can be resolved through the proposed algorithm. Finally, a numerical example is presented to further illustrate its effectiveness.
AB - This paper investigates the multi-targets formation tracking (MTFT) problem for multiple autonomous agents described by Lipschitz-type nonlinear dynamics. The objective is to facilitate the formation of the desired time-varying configuration among locally connected agents, and enable them to track the convex hull of multiple targets. Specifically, each agent is granted the flexibility to explore an appropriate number of targets, contingent upon its individual capability. Without requiring the continuous interactions among agents, an event-triggered MTFT algorithm is designed to reduce the communication consumption. By leveraging the principles of Lyapunov stability theory, it is substantiated that the MTFT problem can be resolved through the proposed algorithm. Finally, a numerical example is presented to further illustrate its effectiveness.
KW - Event-Triggered Algorithm
KW - Lipschitz-Type Nonlinear Systems
KW - Multi-Targets Formation Tracking
UR - https://www.scopus.com/pages/publications/85200570601
U2 - 10.1007/978-981-97-3340-8_24
DO - 10.1007/978-981-97-3340-8_24
M3 - 会议稿件
AN - SCOPUS:85200570601
SN - 9789819733392
T3 - Lecture Notes in Electrical Engineering
SP - 263
EP - 274
BT - Proceedings of 2023 7th Chinese Conference on Swarm Intelligence and Cooperative Control - Swarm Guidance Technologies
A2 - Jiang, Guo-Ping
A2 - Wang, Mengyi
A2 - Ren, Zhang
PB - Springer Science and Business Media Deutschland GmbH
T2 - 7th Chinese Conference on Swarm Intelligence and Cooperative Control, CCSICC 2023
Y2 - 24 November 2023 through 27 November 2023
ER -