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Abstract and Applied Analysis
Volume 2014, Article ID 731368, 7 pages
Research Article

PSO-RBF Neural Network PID Control Algorithm of Electric Gas Pressure Regulator

1College of Communication Engineering, Chongqing University, Chongqing 400044, China
2School of Automation, Chongqing University, Chongqing 400044, China

Received 8 April 2014; Accepted 2 June 2014; Published 24 July 2014

Academic Editor: Zidong Wang

Copyright © 2014 Yuanchang Zhong 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.

  • Yuanchang Zhong, Wenjin Xie, and Xiaofan Zhang, “A neural network compound control algorithm for complex nonlinear electric gas pressure regulating system,” 2016 Chinese Control and Decision Conference (CCDC), pp. 3055–3060, . View at Publisher · View at Google Scholar
  • K. S. M. Jagindar Singh, I. Elamvazuthi, K. Z. K. Shaari, and N. Perumal, “Development of PID controller tuning tool based on cuckoo search algorithms,” 2017 IEEE 3rd International Symposium in Robotics and Manufacturing Automation (ROMA), pp. 1–5, . View at Publisher · View at Google Scholar
  • Yudong Zhang, Shuihua Wang, and Genlin Ji, “A Comprehensive Survey on Particle Swarm Optimization Algorithm and Its Applications,” Mathematical Problems in Engineering, vol. 2015, pp. 1–38, 2015. View at Publisher · View at Google Scholar
  • Hossam Faris, Ibrahim Aljarah, and Seyedali Mirjalili, “Evolving Radial Basis Function Networks Using Moth–Flame Optimizer,” Handbook of Neural Computation, pp. 537–550, 2017. View at Publisher · View at Google Scholar