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作 者:刘晓迪 闻继伟 LIU Xiaodi;WEN Jiwei(School of Internet of Things Engineering,Jiangnan University,Key Laboratory of Advanced Process Control for Light Industry(Ministry of Education))
机构地区:[1]江南大学物联网工程学院,轻工过程先进控制教育部重点实验室
出 处:《仪表技术与传感器》2024年第8期99-108,共10页Instrument Technique and Sensor
基 金:国家自然科学基金项目(62073154);江南大学基本科研计划项目(JUSRP221014)。
摘 要:文中研究一类不确定Takagi-Sugeno(T-S)模糊系统的自触发有限时间H_(∞)控制。首先,提出动态自触发方案,构造触发参数的动力学方程,从而使自触发机制能依据触发时刻状态自适应地调整触发参数;同时,基于当前触发时刻的系统状态实时计算触发间隔,预测下一个触发时刻。相较于T-S模糊系统的静态自触发方案,文中所提的动态自触发方案能进一步降低触发频率,节约计算资源。其次,基于有限时间稳定理论,设置系统状态运动轨迹的次临界界限;结合状态轨迹与次临界界限的相对位置关系和动态自触发方案,分析系统的H_(∞)性能;此外,设计依赖模糊规则的H_(∞)状态反馈控制律,保证T-S模糊系统的动力学行为有限时间有界。最后,给出实例仿真验证文中方法的可行性。This paper aims to investigate the self-triggered finite-time H_(∞)control of a class of uncertain Takagi-Sugeno(TS)fuzzy systems.Firstly,a dynamic self-triggered scheme was developed,constructing the dynamic equation for trigger parameters.This allows the self-triggering mechanism to adaptively adjust trigger parameters based on the state at the triggering moment.Simultaneously,the real-time calculation of the triggering interval was performed based on the current system state at the triggering moment,predicting the next triggering instance.In comparison to the static self-triggered scheme for T-S fuzzy systems,the dynamic self-triggered scheme presented in this paper can further reduce trigger frequency,thereby conserving computational resources.Secondly,based on finite-time stability theory,a subcritical boundary for the system state trajectory was established.Through an analysis of the relative position between the state trajectory and the subcritical boundary,considering the dynamic selftriggered scheme,the H_(∞)performance of the system was evaluated.Furthermore,a fuzzy rule-dependent H_(∞)state feedback control law was designed,and the dynamic behavior of T-S fuzzy system was guaranteed to be bounded in finite time.Finally,an example was given to verify the feasibility of the proposed method.
关 键 词:有限时间有界 动态自触发控制 鲁棒H_(∞)控制 T-S模糊系统
分 类 号:TP273[自动化与计算机技术—检测技术与自动化装置]
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