Research on Application of Fuzzy Control Algorithm in Nonlinear System

DOI

10.2991/icmmita-16.2016.69How to use a DOI?

Keywords

Nonlinear System; Fuzzy Control Algorithm; Applied Analysis.

Abstract

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.

Copyright

© 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/).

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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  -