Abstract
This article studies the finite-time consensus of the stochastic nonlinear multi-agent systems under a directed communication topology. Since the inherent nonlinear dynamics and stochastic disturbances in multi-agent systems are completely unknown, the existing finite-time stability criterion becomes unavailable. To handle this difficulty, by applying the mean value theorem of integrals, a key finite-time stability criterion in integral form is first established. Then, based on the approximation property of the fuzzy logic systems, a distributed adaptive fuzzy control scheme is presented. Under the presented control strategy, the finite-time consensus of the stochastic nonlinear multi-agent systems is achieved. By applying Jessen’s inequality and Theorem 1, the finite-time stability of the closed system is proved. Finally, the simulation result shows the validity of the distributed controller.






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This work was supported in part by the National Natural Science Foundation of China under Grants 61503223 and 61873137, and in part by SDUST Research Fund (No. 2015TDJH105).
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Wang, F., Zhang, Y., Zhang, L. et al. Finite-Time Consensus of Stochastic Nonlinear Multi-agent Systems. Int. J. Fuzzy Syst. 22, 77–88 (2020). https://doi.org/10.1007/s40815-019-00769-w
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DOI: https://doi.org/10.1007/s40815-019-00769-w