Optimizing and Modeling of Comprehensive Performance in Control Systems
- 10.2991/iske.2007.273How to use a DOI?
- optimization; control system; comprehensive performance; expert knowledge; neural network; genetic algorithm
In control systems, it is usually short of quantified comprehensive performance index which results in the global optimization and parameter tuning problems. Aimed at these puzzles, in the paper, the comprehensive performance modeling and optimizing problem are studied based on the combing approach EK&NN and GA. Since the skillful expert could exactly evaluate the control quality, expert knowledge (EK) was applied to quantify the comprehensive performance in PID control system. On the basis, the function of comprehensive performance related to adjustable parameters is modeled with NN. When optimizing the NN function of comprehensive performance with Generic Algorithm (GA), the globally optimal parameters were effectively searched. The experimental results reveal the validity of this modeling and optimizing approach. Therefore, with the combining approach EK & NN and GA, the comprehensive performance in control systems can not only be availably modeled and also be globally optimized.
- © 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 - Wenjin Hu AU - Yingying Su AU - Ling Nie AU - Yucheng Liu AU - Taifu Li PY - 2007/10 DA - 2007/10 TI - Optimizing and Modeling of Comprehensive Performance in Control Systems BT - Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007) PB - Atlantis Press SP - 1594 EP - 1598 SN - 1951-6851 UR - https://doi.org/10.2991/iske.2007.273 DO - 10.2991/iske.2007.273 ID - Hu2007/10 ER -