期刊
INTERNATIONAL JOURNAL OF FUZZY SYSTEMS
卷 22, 期 1, 页码 77-88出版社
SPRINGER HEIDELBERG
DOI: 10.1007/s40815-019-00769-w
关键词
Adaptive fuzzy control; Stochastic multi-agent systems; Finite-time consensus; Square stability
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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