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Neural Computing and Applications
Published in: Neural Computing and Applications 10/2019

02-04-2018 | Original Article

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

Authors: Haibin Sun, Linlin Hou, Chaojie Li

Published in: Neural Computing and Applications | Issue 10/2019

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Abstract

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.
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Metadata
Title
Synchronization of single-degree-of-freedom oscillators via neural network based on fixed-time terminal sliding mode control scheme
Authors
Haibin Sun
Linlin Hou
Chaojie Li
Publication date
02-04-2018
Publisher
Springer London
Published in
Neural Computing and Applications / Issue 10/2019
Print ISSN: 0941-0643
Electronic ISSN: 1433-3058
DOI
https://doi.org/10.1007/s00521-018-3445-x

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