This paper develops an event-triggered adaptive fuzzy control (AFC) scheme for stochastic nonlinear time-delay systems. With the aid of event-triggered mechanism, the salient superiority is to reduce the data transmission and communication burden. By virtue of Lyapunov-Krasovskii function, the time-delay term is effectively addressed. The fuzzy logic systems are exploited to model system uncertainties, meanwhile the norm of fuzzy weight vector is taken as estimation, which simplifies controller complexity. The devised AFC method can not only surmount the adverse influence deriving from time-delay, but also save network and communication resource. Finally, simulation results substantiate the validity of the designed control scheme.

Yongchao Liu

Qidan Zhu

Xing Fan

Fuzzy Sets and Systems

自 1978 年创刊以来，《模糊集与系统》杂志一直致力于模糊集与系统理论与应用的国际进步。模糊集理论现在包含一个组织良好的基本概念语料库，包括（但不限于）聚合操作、广义的关系理论、信息内容的具体度量、模糊数的演算。模糊集也是非加性不确定性理论（即可能性理论）的基石，也是用于语言和数值建模的通用工具：基于模糊规则的系统。现在许多著作将模糊概念与其他科学学科以及现代技术相结合。在数学中，模糊集引发了与范畴论、拓扑、代数、分析相关的新研究课题。模糊集也是广义度量和积分研究的最新趋势的一部分，并与统计方法相结合。此外，模糊集在多值逻辑的传统中有很强的逻辑基础。

Since its inception in 1978, the journal "Fuzzy Sets and Systems" has been dedicated to the international advancement of fuzzy set and system theory and applications. Fuzzy set theory now encompasses a well-organized corpus of fundamental concepts, including but not limited to aggregation operations, general relational theory, measures of information content, and the arithmetic of fuzzy numbers. Fuzzy sets are the cornerstone of non-additive uncertainty theory (i.e., possibility theory) and serve as a universal tool for linguistic and numerical modeling, particularly in systems based on fuzzy rules. Many works integrate fuzzy concepts with other scientific disciplines and modern technologies. In mathematics, fuzzy sets have sparked new research topics related to category theory, topology, algebra, and analysis. Fuzzy sets are also part of the latest trends in generalized metrics and integrals, and they are combined with statistical methods. Furthermore, fuzzy sets have a strong logical foundation in the tradition of many-valued logic.

自1978年创刊以来，《Fuzzy Sets and Systems》杂志一直致力于模糊集与系统理论及其应用的国际进步。模糊集理论现在包含一个系统化的基本概念库，包括但不限于聚合操作、广义关系理论、信息内容的度量以及模糊数的运算。模糊集是非加性不确定性理论（即可能性理论）的基石，也是用于语言和数值建模的通用工具，尤其是在基于模糊规则的系统中。许多研究将模糊概念与其他科学学科及现代技术相结合。在数学领域，模糊集引发了与范畴论、拓扑、代数和分析相关的新研究课题。模糊集也是广义度量和积分研究的最新趋势的一部分，并与统计方法相结合。此外，模糊集在多值逻辑的传统中具有坚实的逻辑基础。

Category	Quartile
数学	1
数学, 应用数学	1
数学, 统计学与概率论	1
数学, 计算机理论方法	2

Event-triggered adaptive fuzzy control for stochastic nonlinear time-delay systems

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Category	Quartile
STATISTICS & PROBABILITY	1