State Estimation Based on TS Fuzzy Models for Networked Systems: A Survey
IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society(2023)
摘要
The networked system is becoming more and more complex and hence cannot be described by an accurate mathematical model. To address the issue, the Takagi-Sugeno (TS) fuzzy model has gained attention as a promising tool for achieving efficient and flexible design requirements. This survey paper aims to provide a thorough overview of the latest advancements of state estimation based on TS fuzzy models. A brief historical overview is proposed for the evolution of T-S fuzzy models and then the T-S fuzzy model-based filtering is systematically reviewed alongside their corresponding analytical and design techniques. Lastly, we a variety of challenging areas are identified to highlight future research efforts.
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关键词
Networked systems,Networked related phenomena,Takagi-Sugeno fuzzy model,State estimation
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