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The Scientific World Journal
Volume 2014, Article ID 394828, 12 pages
http://dx.doi.org/10.1155/2014/394828
Research Article

A Novel Memristive Multilayer Feedforward Small-World Neural Network with Its Applications in PID Control

1School of Electronics and Information Engineering, Southwest University, Chongqing 400715, China
2Department of MBE, City University of Hong Kong, Hong Kong
3Department of ECE, University of Pittsburgh, Pittsburgh, PA 15261, USA

Received 16 June 2014; Accepted 17 July 2014; Published 14 August 2014

Academic Editor: Jinde Cao

Copyright © 2014 Zhekang Dong et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [11 citations]

The following is the list of published articles that have cited the current article.

  • Song Zhu, Lidan Wang, and Shukai Duan, “Memristor-based neural network PID controller for buck converter,” 2015 Sixth International Conference on Intelligent Control and Information Processing (ICICIP), pp. 36–41, . View at Publisher · View at Google Scholar
  • Zhiyuan Jiang, Shukai Duan, Lidan Wang, and Xiaofang Hu, “A threshold adaptive memristor model analysis with application in image storage,” 2015 5th International Conference on Information Science and Technology (ICIST), pp. 449–454, . View at Publisher · View at Google Scholar
  • Li-Dan Wang, Xiao-Fang Hu, Shu-Kai Duan, Zhe-Kang Dong, and Fan-Yi Meng, “An improved WOx memristor model with synapse characteristic analysis,” Wuli Xuebao/Acta Physica Sinica, vol. 64, no. 14, 2015. View at Publisher · View at Google Scholar
  • Lidan Wang, Xiaodong Wang, Shukai Duan, and Huifang Li, “A spintronic memristor bridge synapse circuit and the application in memrisitive cellular automata,” Neurocomputing, 2015. View at Publisher · View at Google Scholar
  • S.Z. Khan, Shakti Suman, M. Pavani, and S.K. Das, “Prediction of the residual strength of clay using functional networks,” Geoscience Frontiers, 2015. View at Publisher · View at Google Scholar
  • Ling Chen, Chuandong Li, Tingwen Huang, Shiping Wen, Yiran Chen, Ling Chen, Chuandong Li, Tingwen Huang, Shiping Wen, and Yiran Chen, “Memristor Crossbar Array for Image Storing,” Advances In Neural Networks - Isnn 2015, vol. 9377, pp. 166–173, 2015. View at Publisher · View at Google Scholar
  • Zhekang Dong, Donglian Qi, Luo Li, Xiaofang Hu, and Shukai Duan, “A fuzzy-based parametric fault diagnosis approach for multiple memristor circuits,” 2016 UKACC International Conference on Control, UKACC Control 2016, 2016. View at Publisher · View at Google Scholar
  • Ashok Kumar Patel, and Snehamoy Chatterjee, “Computer vision-based limestone rock-type classification using probabilistic neural network,” Geoscience Frontiers, vol. 7, no. 1, pp. 53–60, 2016. View at Publisher · View at Google Scholar
  • Viswanathan, and Pijush Samui, “Determination of rock depth using artificial intelligence techniques,” Geoscience Frontiers, vol. 7, no. 1, pp. 61–66, 2016. View at Publisher · View at Google Scholar
  • Zhekang Dong, Chaoyong Li, Donglian Qi, Li Luo, and Shukai Duan, “Multiple Memristor Circuit Parametric Fault Diagnosis Using Feedback-Control Doublet Generator,” IEEE Access, vol. 4, pp. 2604–2614, 2016. View at Publisher · View at Google Scholar
  • Yimin Lu, Qianqian Liang, and Xianfeng Huang, “Parameters self-tuning PID controller circuit with memristors,” International Journal of Circuit Theory and Applications, 2017. View at Publisher · View at Google Scholar