控制理论与应用2026，Vol.43Issue(2)：296-304,9.DOI:10.7641/CTA.2024.30749
切换T-S模糊系统的自适应抗干扰切换控制
Adaptive anti-disturbance switching control for switched T-S fuzzy systems
摘要
Abstract
In this paper,an adaptive anti-disturbance switched control strategy is proposed for switched T-S fuzzy systems subject to multiple sources of disturbance.The multi-source disturbances encompass two components:measurable but unmodeled disturbances and unobservable disturbances modeled by neural networks.Firstly,an adaptive disturbance observer is devised for approximating dynamic neural network modeled disturbances,specifically designed for switched T-S fuzzy systems under the constraint of an average dwell time switching signal.Subsequently,an adaptive anti-disturbance controller is formulated based on the observer.The attenuation performance from the output to the available disturbances is analyzed using the L2 gain performance index.Furthermore,under the constraint of the average dwell time-dependent switching signals,the sufficient conditions for the solvability of the fuzzy adaptive anti-disturbance switching control method are provided.Finally,the rationality and effectiveness of the established adaptive anti-disturbance switched control scheme are validated through a simulation example of a mass-spring-damper system.关键词
切换T-S模糊系统/多源扰动/动态神经网络/自适应抗干扰Key words
switched Takagi-Sugeno fuzzy systems/multi-source disturbances/dynamic neural network/adaptive anti-disturbance引用本文复制引用
高裕轩,赵颖,桑红,李鹏媛,于双和..切换T-S模糊系统的自适应抗干扰切换控制[J].控制理论与应用,2026,43(2):296-304,9.基金项目
国家自然科学基金项目(62373072,62073054,62203080,62273068),辽宁省自然科学基金项目(2023-BS-073,2023-MS-120),中国博士后科学基金项目(2023M740467)资助.Supported by the National Natural Science Foundation of China(62373072,62073054,62203080,62273068),the Liaoning Provincial Natural Science Foundation Project(2023-BS-073,2023-MS-120)and the China Postdoctoral Science Foundation project(2023M740467). （62373072,62073054,62203080,62273068）
