Reconstructing Dynamics of Fuzzy PID Controller Based on Elman NN
Authors
Bingxiang Zhong1, Debiao Wang, Yingying Su, Ling Nie, Taifu Li
1Dept. of Electronic Information Engineering, Chongqing University of Science and Technology
Corresponding Author
Bingxiang Zhong
Available Online October 2007.
- DOI
- 10.2991/iske.2007.274How to use a DOI?
- Keywords
- Fuzzy PID, Elman Neural Network, Function Approximation, Reconstructing, Dynamics
- Abstract
Aimed at implementation puzzles of fuzzy PID controller because of computational complexity, in this paper, for the dynamic modeling and parallel computation ability of Elman NN (Neural Network) authors utilized an equivalent Elman NN to accurately approximate the dynamics of an known fuzzy PID controller. Consequently, the same process model was controlled by the fuzzy PID controller and the remodeling Elman NN, respectively. Results show that the control qualities due to two different controllers were extremely similar. Therefore, the fuzzy PID controller can be simplified to a remodeling Elman NN in purpose of reducing the computational complexity, solving the curse of dimensionality and improving the real-time performance.
- Copyright
- © 2007, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Bingxiang Zhong AU - Debiao Wang AU - Yingying Su AU - Ling Nie AU - Taifu Li PY - 2007/10 DA - 2007/10 TI - Reconstructing Dynamics of Fuzzy PID Controller Based on Elman NN BT - Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007) PB - Atlantis Press SP - 1599 EP - 1604 SN - 1951-6851 UR - https://doi.org/10.2991/iske.2007.274 DO - 10.2991/iske.2007.274 ID - Zhong2007/10 ER -