Neural Computing and Applications

, Volume 31, Issue 10, pp 6365–6372 | Cite as

Synchronization of single-degree-of-freedom oscillators via neural network based on fixed-time terminal sliding mode control scheme

  • Haibin Sun
  • Linlin Hou
  • Chaojie LiEmail author
Original Article


In this paper, the synchronization problem is investigated for two single-degree-of-freedom oscillators via neural network based on fixed-time terminal sliding mode control. First, a fixed-time terminal sliding mode is constructed. Then, in order to deal with the unknown function in master system, the neural network technique is introduced. Combining fixed-time terminal sliding mode surface and adaptive control scheme plus neural network technique, an adaptive fixed-time terminal sliding mode controller is presented. The stability of the closed-loop system is analyzed. Finally, simulation results are provided to demonstrate the effectiveness of the proposed two control strategies.


Oscillators Synchronization Non-singular fixed-time control Sliding mode control Neural network Adaptive control 



This work was supported in part by the National natural Science Foundation of China (Nos. 61773236, 61773235), and the Postdoctoral Science Foundation of China (2017M612236, 2017M611222).

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interests.


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Copyright information

© The Natural Computing Applications Forum 2018

Authors and Affiliations

  1. 1.School of EngineeringQufu Normal UniversityRizhaoP. R. China
  2. 2.School of Information Science and EngineeringQufu Normal UniversityRizhaoP. R. China
  3. 3.School of EngineeringRMIT UniversityMelbourneAustralia

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