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Academic Journal of Engineering and Technology Science, 2020, 3(4); doi: 10.25236/AJETS.2020.030417.

Opportunities and Challenges Faced by Control Engineering in the New Era

Author(s)

Junjie Zhao

Corresponding Author:
Junjie Zhao
Affiliation(s)

Institute of computer and control engineering, North China Electric Power University, Baoding 071000, China
[email protected]

Abstract

As a new wave, big data and artificial intelligence is triggering deep changes in the field of control engineering, and technology is reshaping the shape of control strategies.Control engineering is facing new challenges. This article analyzes the definition of big data, the relationship between big data, artificial intelligence and control engineering, and the impact of them on control engineering, providing a reference for the future development direction of control engineering.

Keywords

big data, artificial intelligence, control engineering

Cite This Paper

Junjie Zhao. Opportunities and Challenges Faced by Control Engineering in the New Era. Academic Journal of Engineering and Technology Science (2020) Vol. 3 Issue 4: 179-183. https://doi.org/10.25236/AJETS.2020.030417.

References

[1] ZHANG Yaoxue, REN Ju, LIU Jiagang, etal. A Survey on Emerging Computing Paradigms for Big Data [J]. Chinese Journal of Electronics, 2017 (05).
[2] Zhao Feifei, Jin Yanliang, Xiong Yong. Sensing system based on WiFi probing [J].Electronic Measurement Technology, 2016, 39 (10).
[3] Miao Yongmei. Anomaly detection based on large data analysis applied to petroleum catalysis [J]. Electronic Measurement Technology, 2017, 40 (07).
[4] Peng Yu, Pang Jingyue, Liu Datong, Peng Xiyuan. Big data: connotation, technical framework and its development [J]. Journal of Electronic Measurement and Instrumentation, 2015: 11–24.
[5] MNIHV, KAVUKCUOGLUK, SILVERD, etal. Playing atari with deep reinforcement learning [C] //Proceedings of the NIPS Workshop on Deep Learning. Lake Tahoe: MIT Press, 2013.
[6] ZHAO Dong-bin, SHAO Kun, ZHU Yuan-heng, etal. Review of deep reinforcement learning and discussions on the development of computer Go [J]. Control Theory & Applications, 2016, 33 (6): 701-717. DOI:10.7641/CTA.2016. 60173.