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Volume 2018, Article ID 3141805, 2 pages

Neural Network for Complex Systems: Theory and Applications

1College of Automation Science and Engineering, South China University of Technology, Guangzhou, China
2Faculty of Mechanical and Electrical Engineering, Kunming University of Science and Technology, Kunming, China
3School of Engineering and Materials Science, Queen Mary University of London, London, UK
4Department of Engineering and Design, University of Sussex, Brighton, UK
5National Institute of Advanced Industrial Science and Technology, Tokyo, Japan

Correspondence should be addressed to Chenguang Yang; gro.eeei@gnayc

Received 7 March 2018; Accepted 13 March 2018; Published 8 May 2018

Copyright © 2018 Chenguang Yang 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 [4 citations]

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

  • Chengcheng Ren, and Shuping He, “Positiveness and Observer-Based Finite-Time Control for a Class of Markov Jump Systems with Some Complex Environment Parameters,” Complexity, vol. 2018, pp. 1–13, 2018. View at Publisher · View at Google Scholar
  • Guolian Hou, Linjuan Gong, Xiaoyan Dai, Mengyi Wang, and Congzhi Huang, “A Novel Fuzzy Model Predictive Control of a Gas Turbine in the Combined Cycle Unit,” Complexity, vol. 2018, pp. 1–18, 2018. View at Publisher · View at Google Scholar
  • Cheng Wang, Kaicheng Li, and Shuai Su, “Hierarchical Newton Iterative Parameter Estimation of a Class of Input Nonlinear Systems Based on the Key Term Separation Principle,” Complexity, vol. 2018, pp. 1–11, 2018. View at Publisher · View at Google Scholar
  • Shixi Tang, Jinan Gu, Keming Tang, Wei Ding, and Zhengyang Shang, “Eigen Solution of Neural Networks and Its Application in Prediction and Analysis of Controller Parameters of Grinding Robot in Complex Environments,” Complexity, vol. 2019, pp. 1–21, 2019. View at Publisher · View at Google Scholar