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具有有向图的高阶多智能体系统的自适应模糊有限时间容错一致性跟踪控制

Adaptive Fuzzy Finite-Time Fault-Tolerant Consensus Tracking Control for High-Order Multiagent Systems With Directed Graphs.

作者信息

Yang Tingting, Kang Haobo, Ma Hongjun, Wang Xin

出版信息

IEEE Trans Cybern. 2023 Jan;53(1):607-616. doi: 10.1109/TCYB.2022.3165351. Epub 2022 Dec 23.

DOI:10.1109/TCYB.2022.3165351
PMID:35476565
Abstract

This article investigates the distributed adaptive fuzzy finite-time fault-tolerant consensus tracking control for a class of unknown nonlinear high-order multiagent systems (MASs) with actuator faults and high powers (ratio of positive odd rational numbers). The fault models include both loss of effectiveness and bias fault. Compared with existing similar results, the MASs considered here are more general and complex, which include the special case when the powers are equal to 1. Besides, the functions in this article are completely unknown and do not need to satisfy any growth conditions. In the backstepping framework, an adaptive fuzzy fault-tolerant consensus tracking controller is designed via adding one power integrator technique and directed graph theory so that the controlled systems are semiglobal practical finite-time stability (SGPFTS). Finally, numerical simulation results further verify the effectiveness of the developed control scheme.

摘要

本文研究了一类具有执行器故障且幂次为正奇有理数之比的未知非线性高阶多智能体系统(MASs)的分布式自适应模糊有限时间容错一致性跟踪控制。故障模型包括有效性损失和偏差故障。与现有类似结果相比,这里考虑的MASs更具一般性和复杂性,其中包括幂次等于1的特殊情况。此外,本文中的函数完全未知且无需满足任何增长条件。在反步法框架下,通过添加幂积分器技术和有向图理论设计了一种自适应模糊容错一致性跟踪控制器,使得受控系统具有半全局实际有限时间稳定性(SGPFTS)。最后,数值仿真结果进一步验证了所提出控制方案的有效性。

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