JOURNAL ARTICLE

Fuzzy Neural Network-based Time Delay Prediction for Networked Control Systems

Chang-Wook Han

Year: 2013 Journal:   Applied Mathematics & Information Sciences Vol: 8 (1)Pages: 407-413

Abstract

In networked control systems, the varying transmission time delay of the transmitting signal is unavoidable. If the varying transmission time delay exceeds the fixed sampling time, the system will be uns table. To solve this problem, in this paper, the logic- based fuzzy neural networks are applied to the prediction of transmission time delay. The predicted time delay is used as a sampling period of the networked control systems. To show the usability of the proposed method, the transmission time delay data are collected from the real system, and these collected data are used to train and test the logic-based fuzzy neural networks.

Keywords:
Artificial neural network Computer science Fuzzy control system Fuzzy logic Control (management) Neuro-fuzzy Control theory (sociology) Artificial intelligence

Metrics

13
Cited By
2.44
FWCI (Field Weighted Citation Impact)
11
Refs
0.91
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Fault Detection and Control Systems
Physical Sciences →  Engineering →  Control and Systems Engineering
Advanced Sensor and Control Systems
Physical Sciences →  Engineering →  Control and Systems Engineering
Advanced Algorithms and Applications
Physical Sciences →  Engineering →  Control and Systems Engineering
© 2026 ScienceGate Book Chapters — All rights reserved.