Complexity
Volume 2020 (2020), Article ID 3826707, 1 page
https://doi.org/10.1155/2020/3826707

Retraction

Retracted: Model-Free Adaptive Sliding Mode Robust Control with Neural Network Estimator for the Multi-Degree-of-Freedom Robotic Exoskeleton

Complexity

Received 18 August 2020; Accepted 18 August 2020; Published 31 October 2020

Copyright © 2020 Complexity. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Complexity has retracted the article titled “Model-free adaptive sliding mode robust control with neural network estimator for the multi-degree-of-freedom robotic exoskeleton” [1] due to similarity identified with a previous publication [2].

Concerns were originally raised by the authors, who requested to replace the figures in the article to reduce the level of overlap. While the overlapping article was cited as reference 18 in the published article, it was not clear that the data were reused from this previous publication.

The article is therefore being retracted due to this overlap, with the agreement of the Chief Editor and the authors.

References

X. Chen, D. Li, P. Wang, X. Yang, and H. Li, “Model-free adaptive sliding mode robust control with neural network estimator for the multi-degree-of-freedom robotic exoskeleton,” Complexity, vol. 2020, Article ID 8327456, 10 pages, 2020.

X. Wang, X. Li, J. Wang, X. Fang, and X. Zhu, “Data-driven model-free adaptive sliding mode control for the multi degree-of-freedom robotic exoskeleton,” Information Sciences, vol. 327, pp. 246–257, 2016.