引用本文: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.[点击复制]
GAO Yu-xuan,ZHAO Ying,SANG Hong,LI Peng-yuan,YU Shuang-he.Adaptive anti-disturbance switching control for switched T-S fuzzy systems[J].Control Theory & Applications,2026,43(2):296~304.[点击复制]
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
摘要点击 128  全文点击 21  投稿时间：2023-11-18  修订日期：2025-03-05
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DOI编号  10.7641/CTA.2024.30749
  2026,43(2):296-304
中文关键词  切换T-S模糊系统  多源扰动  动态神经网络  自适应抗干扰
英文关键词  switched Takagi-Sugeno fuzzy systems  multi-source disturbances  dynamic neural network  adaptive anti-disturbance
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.
作者单位E-mail
高裕轩 大连海事大学 船舶电气工程学院 gaoyuxuan980503@163.com 
赵颖* 大连海事大学 船舶电气工程学院  
桑红 大连海事大学 船舶电气工程学院  
李鹏媛 大连海事大学 船舶电气工程学院  
于双和 大连海事大学 船舶电气工程学院  
中文摘要
      针对受到多源干扰影响的切换T-S模糊系统, 本文提出了一种自适应抗干扰切换控制策略. 多源干扰包括 可测未建模干扰与不可测量的神经网络建模干扰两部分. 首先, 针对平均驻留时间依赖的切换T-S模糊系统设计了 一种自适应扰动观测器用于近似动态神经网络建模扰动; 其次, 基于观测器设计了自适应抗干扰控制器. 利用L2增 益性能指标分析了从输出到扰动的衰减性能; 然后, 在平均驻留时间依赖的切换信号下, 给出了切换T-S模糊系统的 自适应抗干扰切换控制问题可解性的充分条件. 最后, 通过一个质量–弹簧–阻尼仿真例子验证了所建立自适应抗干 扰切换控制方案的有效性.
英文摘要
      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.