Abstract
In this paper, an adaptive neural network (NN) fault-tolerant controller is designed for the leader-following consensus control problem of a nonlinear multi-agent systems (MASs) under the complex effect of actuator fault, state time-delay, asymmetric output error constraint and the lumped uncertainty. Firstly, by using an asymmetric barrier Lyapunov function (BLF), output errors are ensured to meet the asymmetric output error constraint requirements. Then, Lyapunov–Krasovskii (L–K) functional and Young’s inequality are combined to tackle state time-delay. Radial basis function neural network (RBFNN) is employed to approximate the unknown nonlinear function. Furthermore, adaptive technique is utilized to solve actuator fault. Based on the Lyapunov stability theory, the semi-global bounded stability of closed-loop system is proved. Finally, the validity of the designed control strategy is verified by compared simulation and the application of the two-stage chemical reactors.
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Acknowledgements
This research was supported by Natural Science Foundation of Hebei Province (F2020203105); Science and Technology Project of Hebei Education Department (ZD2022012); Natural Science Foundation of Hebei Province (F2022203085) and National Natural Science Foundation of China (62073234).
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Li, F., Wang, F., Fan, L. et al. Adaptive Neural Network Fault-Tolerant Consensus Control for Multi-agent Systems with Time-Delay and Asymmetric Error Constraint. Neural Process Lett 55, 10371–10392 (2023). https://doi.org/10.1007/s11063-023-11331-z
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DOI: https://doi.org/10.1007/s11063-023-11331-z