Research on Application of Fuzzy Control Algorithm in Nonlinear System
- 10.2991/icmmita-16.2016.69How to use a DOI?
- Nonlinear System; Fuzzy Control Algorithm; Applied Analysis.
As a kind of artificial intelligence technology, fuzzy control is widely used in the non-linear control system, and the application will be effective in industrial production, and then many large lags and nonlinear problems have been solved. This paper focuses on the research of the application of fuzzy control algorithm in nonlinear systems. With the advancement of science and technology, system automation is more and more strong, and to strengthen the automation system, it requires an in-depth study on the control system. Control system is an important direction of scientific research in China, and through the establishment of the basic structure and simulation, the depth of control analysis will be strengthened greatly. In system control, fuzzy control of nonlinear system is an important content. Through analysis and study of this control algorithm, it can provide effective fuzzy control of nonlinear systems. Based on the nonlinear system control algorithm, this system aims to analyze the advantages of the algorithm, thereby it is strengthening the level of application in practice.
- © 2017, 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 - Libo Yang PY - 2017/01 DA - 2017/01 TI - Research on Application of Fuzzy Control Algorithm in Nonlinear System BT - Proceedings of the 2016 4th International Conference on Machinery, Materials and Information Technology Applications PB - Atlantis Press SP - 389 EP - 392 SN - 2352-538X UR - https://doi.org/10.2991/icmmita-16.2016.69 DO - 10.2991/icmmita-16.2016.69 ID - Yang2017/01 ER -