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Journal Article

Twisting-based finite-time consensus for Euler-Lagrange systems with an event-triggered strategy

Authors

Jin,  Xin
External Organizations;

Wei,  Du
External Organizations;

He,  Wangli
External Organizations;

Kocarev,  Ljupco
External Organizations;

Tang,  Yang
External Organizations;

/persons/resource/Juergen.Kurths

Kurths,  Jürgen
Potsdam Institute for Climate Impact Research;

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Citation

Jin, X., Wei, D., He, W., Kocarev, L., Tang, Y., Kurths, J. (2020): Twisting-based finite-time consensus for Euler-Lagrange systems with an event-triggered strategy. - IEEE Transactions on Network Science and Engineering, 7, 3, 1007-1018.
https://doi.org/10.1109/TNSE.2019.2900264


Cite as: https://publications.pik-potsdam.de/pubman/item/item_24716
Abstract
In this paper, a twisting-based consensus algorithm is put forward to deal with the event-triggered finite-time consensus for networked Lagrangian systems with directed graphs. First, a fully distributed event-triggered finite-time protocol is considered, for which we can show that each agent can achieve the consensus after a settling time. In order to remove the requirement of continuous monitoring, a pull-based triggering mechanism is employed. Simultaneously, the Zeno-behavior can be excluded under a finite-time dynamic condition. Then, due to the advantages of non-chattering behaviors and finite-time convergence, a twisting-based consensus algorithm based on homogeneous techniques is developed to drive the Euler-Lagrange systems to the consensus value in a settling time. By means of Pólya's theorem and Sum of Squares tools, a polynomial Lyapunov function is constructed to verify our criteria. At last, we give a numerical example for 2-DOF prototype manipulators to verify the validity of the theoretical results.