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Paper details
Number 3 - September 2023
Volume 33 - 2023
Event-triggered cooperative control for high-order nonlinear multi-agent systems with finite-time consensus
Shiyin Gong, Meirong Zheng, Jing Hu, Anguo Zhang
Abstract
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
multi-agent systems, cooperative control, event-triggered control, neuro-adaptive control, prescribed performance