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书目名称Control and Filtering of Fuzzy Systems Under Communication Channels影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0237321<br><br> <br><br>书目名称Control and Filtering of Fuzzy Systems Under Communication Channels影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0237321<br><br> <br><br>书目名称Control and Filtering of Fuzzy Systems Under Communication Channels网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0237321<br><br> <br><br>书目名称Control and Filtering of Fuzzy Systems Under Communication Channels网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0237321<br><br> <br><br>书目名称Control and Filtering of Fuzzy Systems Under Communication Channels被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0237321<br><br> <br><br>书目名称Control and Filtering of Fuzzy Systems Under Communication Channels被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0237321<br><br> <br><br>书目名称Control and Filtering of Fuzzy Systems Under Communication Channels年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0237321<br><br> <br><br>书目名称Control and Filtering of Fuzzy Systems Under Communication Channels年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0237321<br><br> <br><br>书目名称Control and Filtering of Fuzzy Systems Under Communication Channels读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0237321<br><br> <br><br>书目名称Control and Filtering of Fuzzy Systems Under Communication Channels读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0237321<br><br> <br><br>Complement 发表于 2025-3-21 20:26:04
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Book 2023zy models. By fully considering different network-induced phenomena, such as signal quantizations, time-delays, data packet dropouts, communication protocols, cyber attacks, and so on, some significant strategies are provided for various performance analysis and different controller/filter synthesiscorporate 发表于 2025-3-22 14:18:59
Introduction and Preview,agi–Sugeno (T–S) fuzzy model and some interesting results have been published in the open literature. In this monograph, some novel advances on the study of nonlinear networked systems based on T–S fuzzy model will be given. Firstly, the various robust control strategies for nonlinear networked systcorporate 发表于 2025-3-22 17:58:24
Fuzzy Robust , Control with Dynamic Quantization, transmission to reduce the communication burden. Firstly, the robust . control is addressed for uncertain discrete-time T–S fuzzy systems with the control input quantization via a two-step design approach and the fuzzy Lyapunov functional method. Secondly, a new two-step strategy is proposed to onl净礼 发表于 2025-3-22 21:53:12
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https://doi.org/10.1007/978-3-658-17033-2nd measurement output quantization on continuous-time T–S fuzzy systems, the resilient . control problem is solved based on two descriptor representation approaches, and a novel adjusting rule is given for dynamic quantizers’ parameters. Finally, some examples are provided to show the feasibility anPert敏捷 发表于 2025-3-23 07:41:59
Vorausschauender Motion-Cueing-Algorithmus, in which the measurement output and the performance output signals of the system are quantized by two dynamic quantizers. And the conditions are given to ensure the filtering error system is asymptotically stable with the prescribed . performance index. Finally, some examples are given to demonstra