基于事件触发机制的具有状态约束的切换非严格反馈非线性系统的自适应模糊跟踪
Adaptive fuzzy tracking of switched nonstrict-feedback nonlinear systems with state constraints based on event-triggered mechanism.
作者信息
Liu Yongchao, Zhu Qidan, Zhou Xing, Wang Lipeng
机构信息
College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin, 150001, China; Key laboratory of Intelligent Technology and Application of Marine Equipment (Harbin Engineering University), Ministry of Education, Harbin, 150001, China.
College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin, 150001, China; Key laboratory of Intelligent Technology and Application of Marine Equipment (Harbin Engineering University), Ministry of Education, Harbin, 150001, China.
出版信息
ISA Trans. 2022 Feb;121:30-39. doi: 10.1016/j.isatra.2021.03.014. Epub 2021 Apr 1.
This paper is devoted to develop an adaptive fuzzy tracking control scheme for switched nonstrict-feedback nonlinear systems (SNFNS) with state constraints based on event-triggered mechanism. All state variables are ensured to keep the predefined regions by employing barrier Lyapunov function (BLF). The fuzzy logic systems are exploited to cope with the unknown dynamics existing the SNFNS. It proposes to mitigate data transmission and save communication source whereby the event-triggered mechanism. With the aid of Lyapunov stability analysis and the average dwell time (ADT) method, it is shown that all variables of the entire SNFNS are uniformly ultimate bounded (UUB) under switching signals. Finally, simulation studies are discussed to substantiate the validity of theoretical findings.
本文致力于基于事件触发机制为具有状态约束的切换非严格反馈非线性系统（SNFNS）开发一种自适应模糊跟踪控制方案。通过采用障碍李雅普诺夫函数（BLF）确保所有状态变量保持在预定义区域内。利用模糊逻辑系统来处理SNFNS中存在的未知动态。提出通过事件触发机制来减少数据传输并节省通信资源。借助李雅普诺夫稳定性分析和平均驻留时间（ADT）方法，表明在切换信号作用下整个SNFNS的所有变量都是一致最终有界（UUB）的。最后，通过仿真研究来证实理论结果的有效性。
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