Review of machine learning and deep learning mechanism in cyber-physical system

Document Type : Review articles


1 ECE, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, India

2 ECE, SRM Institute of science and technology, Kattankulathur, Chennai, India

3 ECE, Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, India


Cyber-Physical Systems are one of the emerging technologies which involve the integration of cyber system physical and control systems. This Cyber-physical System automates the industrial process like manufacturing, monitoring and control. Since the system involves three different cyber, physical and control optimization domains, such systems are complex in nature and cannot be done with a traditional optimization mechanism. Machine learning and deep learning are efficient mechanisms to model the behavior of such complex systems for design and optimization. In this work, the application of machine learning mechanisms in the cyber-physical system for various purposes like security, re-organization, and scheduling. This systematic review will give more insight into the latest application and mechanism of machine learning and deep learning for the cyber-physical system.


Volume 13, Issue 1
February 2022
Pages 583-590
  • Receive Date: 09 June 2021
  • Revise Date: 15 August 2021
  • Accept Date: 23 September 2021
  • First Publish Date: 23 September 2021