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http://dx.doi.org/10.7471/ikeee.2019.23.3.899

Time Delay Prediction of Networked Control Systems using Cascade Structures of Fuzzy Neural Networks  

Lee, Cheol-Gyun (Dept. of Electrical Engineering, Dong-Eui University)
Han, Chang-Wook (Dept. of Electrical Engineering, Dong-Eui University)
Publication Information
Journal of IKEEE / v.23, no.3, 2019 , pp. 899-903 More about this Journal
Abstract
In networked control systems, time-varying delay of the transmitting signal is inevitable. If the transmission delay is longer than the fixed sampling time, the system will be unstable. To solve this problem, this paper proposes the method to predict the delay using logic-based fuzzy neural networks, and the predicted time delay will be used as a sampling time in the networked control systems. To verify the effectiveness of the proposed method, the delay data collected from the real system are used to train and test the logic-based fuzzy neural networks.
Keywords
networked control systems; fuzzy logic; neural networks; genetic algorithm; time delay prediction;
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