Geodesic
Event-triggered cooperative control for high-order nonlinear multi-agent systems with finite-time consensus
International Journal of Applied Mathematics and Computer Science, Tome 33 (2023) no. 3, pp. 439-448.

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An event-triggered adaptive control algorithm is proposed for cooperative tracking control of high-order nonlinear multiagent systems (MASs) with prescribed performance and full-state constraints. The algorithm combines dynamic surface technology and the backstepping recursive design method, with radial basis function neural networks (RBFNNs) used to approximate the unknown nonlinearity. The barrier Lyapunov function and finite-time stability theory are employed to prove that all agent states are semi-globally uniform and ultimately bounded, with the tracking error converging to a bounded neighborhood of zero in a finite time. Numerical simulations are provided to demonstrate the effectiveness of the proposed control scheme.
Keywords: multiagent system, cooperative control, event triggered control, neuroadaptive control, prescribed performance
Mots-clés : system wieloagentowy, sterowanie wyzwalane zdarzeniami, sterowanie neuroadaptacyjne 
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Gong, Shiyin; Zheng, Meirong; Hu, Jing; Zhang, Anguo. Event-triggered cooperative control for high-order nonlinear multi-agent systems with finite-time consensus. International Journal of Applied Mathematics and Computer Science, Tome 33 (2023) no. 3, pp. 439-448. http://geodesic.mathdoc.fr/item/IJAMCS_2023_33_3_a7/

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