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Mathematical Problems in Engineering
Volume 2015, Article ID 382954, 10 pages
http://dx.doi.org/10.1155/2015/382954
Research Article

One-Step-Ahead Predictive Control for Hydroturbine Governor

1School of Power and Mechanical Engineering, Wuhan University, Wuhan, Hubei 430072, China
2School of Water Resources and Architectural Engineering, Northwest A&F University, Xi’an, Shaanxi 712100, China
3Department of Electrical and Computer Engineering, University of Calgary, Calgary, AB, Canada T2N 1N4

Received 24 December 2014; Accepted 23 January 2015

Academic Editor: Yun-Bo Zhao

Copyright © 2015 Zhihuai Xiao 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.

  • Y. C. Lin, Dong-Dong Chen, Ming-Song Chen, Xiao-Min Chen, and Jia Li, “A precise BP neural network-based online model predictive control strategy for die forging hydraulic press machine,” Neural Computing and Applications, 2016. View at Publisher · View at Google Scholar
  • Blas Zamora, “Rescate de la magnitud tiempo en el proceso de ense?anza-aprendizaje de las Turbom?quinas Hidr?ulicas,” Modelling in Science Education and Learning, vol. 9, no. 1, pp. 173, 2016. View at Publisher · View at Google Scholar
  • Caoyuan Ma, Chuangzhen Liu, and Xuezi Zhang, “Fixed-Time Feedback Control of the Hydraulic Turbine Governing System,” Complexity, vol. 2018, pp. 1–9, 2018. View at Publisher · View at Google Scholar
  • Caoyuan Ma, Chuangzhen Liu, Xuezi Zhang, Yongzheng Sun, Wenbei Wu, and Jin Xie, “Fixed-Time Stability of the Hydraulic Turbine Governing System,” Mathematical Problems in Engineering, vol. 2018, pp. 1–10, 2018. View at Publisher · View at Google Scholar