This paper investigates the global consensus problems for the first-order and second-order unknown nonlinear multiagent systems (MASs) with uncertain input disturbance. Fuzzy logic systems are applied to solve the global consensus problem for unknown nonlinear MASs. A fully distributed adaptive fuzzy control is designed to enable followers asymptotically to track the leader without using any dynamics of the leader. The global consensus conditions are also derived for the first-order and second-order unknown MASs, which overcomes the drawback of the semiglobal consensus in existing literature. It is worth mentioning that the proposed approach can greatly alleviate the computation burden because it only needs to update a few parameters. An efficient framework is also given to achieve the global formation control of the second-order unknown nonlinear MAS with an undirected connected graph. Finally, four simulated examples are given to illustrate the effectiveness of the proposed control protocols.

中文翻译：

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未知非线性多智能体系统的全局模糊自适应一致性控制


本文研究了具有不确定输入扰动的一阶和二阶未知非线性多智能体系统（MAS）的全局共识问题。模糊逻辑系统用于解决未知非线性 MAS 的全局一致性问题。完全分布式自适应模糊控制旨在使追随者能够渐进地跟踪领导者，而无需使用领导者的任何动态。还推导了一阶和二阶未知MAS的全局共识条件，克服了现有文献中半全局共识的缺点。值得一提的是，所提出的方法可以极大地减轻计算负担，因为它只需要更新几个参数。还给出了一个有效的框架来实现具有无向连通图的二阶未知非线性MAS的全局编队控制。最后，给出了四个仿真例子来说明所提出的控制协议的有效性。