종속형 퍼지 뉴럴 네트워크를 이용한 네트워크 제어시스템의 시간 지연 예측
Time Delay Prediction of Networked Control Systems using Cascade Structures of Fuzzy Neural Networks
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초록
네트워크 제어 시스템에서는 송신 신호의 시간 변동 지연이 불가피하다. 전송 지연이 고정된 샘플링 시간보다 길면 시스템이 불안정해진다. 이 문제를 해결하기 위해 본 논문은 논리 기반의 퍼지 신경망을 이용하여 지연을 예측하는 방법을 제안하며, 예측된 시간 지연은 네트워크 제어 시스템의 샘플링 시간으로 사용된다. 제안된 방법의 효과를 검증하기 위해, 실제 시스템에서 수집된 지연 데이터를 사용하여 논리 기반 퍼지 신경 네트워크를 훈련하고 테스트한다.
Abstract
In networked control systems, time-varying delay of the transmitting signal is inevitable. If the transmission delay islonger than the fixed sampling time, the system will be unstable. To solve this problem, this paper proposes the methodto predict the delay using logic-based fuzzy neural networks, and the predicted time delay will be used as a samplingtime in the networked control systems. To verify the effectiveness of the proposed method, the delay data collected fromthe real system are used to train and test the logic-based fuzzy neural networks.
참고문헌 (6)
- Xinchun Jie, "Anomaly detection and resilient control of networked control system with multi-hop routing", International Journal of Systems Science, 50(6), pp.1202~1215 (2019), Informa UK Limited[DOI]
- Mingming Wang, "Online fault detection for networked control system with unknown network-induced delays", International Journal of Modelling, Identification and Control, 30(4), pp.293~ (2018), Inderscience Publishers[DOI]
- Kyung Chang Lee, "Remote fuzzy logic control of networked control system via profibus-dp", IEEE Transactions on Industrial Electronics, 50(4), pp.784~792 (2003), Institute of Electrical and Electronics Engineers (IEEE)[DOI]
- Ying Zheng, "Takagi-sugeno fuzzy-model-based fault detection for networked control systems with Markov delays", IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics), 36(4), pp.924~929 (2006), Institute of Electrical and Electronics Engineers (IEEE)[DOI]
- Jianqiang Yi, "BP neural network prediction-based variable-period sampling approach for networked control systems", Applied Mathematics and Computation, 185(2), pp.976~988 (2007), Elsevier BV[DOI]
- W. Pedrycz, "Cascade Architectures of Fuzzy Neural Networks", Fuzzy Optimization and Decision Making, 3(1), pp.5~37 (2004), Springer Science and Business Media LLC[DOI]