This article focuses on the containment control problem for nonlinear multiagent systems (MASs) with unknown disturbance and prescribed performance in the presence of dead-zone output. The fuzzy-logic systems (FLSs) are used to approximate the unknown nonlinear function, and a nonlinear disturbance observer is used to estimate unknown external disturbances. Meanwhile, a new distributed containment control scheme is developed by utilizing the adaptive compensation technique without assumption of the boundary value of unknown disturbance. Furthermore, a Nussbaum function is utilized to cope with the unknown control coefficient, which is caused by the nonlinearity in the output mechanism. Moreover, a second-order tracking differentiator (TD) is introduced to avoid the repeated differentiation of the virtual controller. The outputs of the followers converge to the convex hull spanned by the multiple dynamic leaders. It is shown that all the signals are semiglobally uniformly ultimately bounded (SGUUB), and the local neighborhood containment errors can converge into the prescribed boundary. Finally, the effectiveness of the approach proposed in this article is illustrated by simulation results.

中文翻译：

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使用干扰观测器的非线性多智能体系统的规定性能自适应模糊遏制控制


本文重点研究在存在死区输出的情况下具有未知扰动和规定性能的非线性多智能体系统 (MAS) 的遏制控制问题。模糊逻辑系统（FLS）用于逼近未知的非线性函数，非线性扰动观测器用于估计未知的外部扰动。同时，利用自适应补偿技术，在不假设未知扰动边界值的情况下，提出了一种新的分布式遏制控制方案。此外，利用Nussbaum函数来应对由输出机制的非线性引起的未知控制系数。此外，引入二阶跟踪微分器（TD）以避免虚拟控制器的重复微分。跟随者的输出收敛到由多个动态领导者跨越的凸包。结果表明，所有信号都是半全局一致最终有界（SGUUB）的，并且局部邻域包含误差可以收敛到规定的边界。最后，通过仿真结果说明了本文提出的方法的有效性。