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Cited by 265

The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.

Finite-Time Continuous Terminal Sliding Mode Control of Servo Motor Systems

Hou, Huazhou, Yu, Xinghuo, Xu, Long, Rsetam, Kamal, Cao, Zhenwei·2020·IEEE Transactions on Industrial Electronics

Abstract

In this article, a continuous terminal sliding mode control algorithm is proposed for servo motor systems. A novel full-order terminal sliding mode surface is proposed based on the bilimit homogeneous property, such that the sliding motion is finite-time stable independent of the system's initial condition. A new continuous terminal sliding mode control algorithm is proposed to guarantee that the system states reach the sliding surface in finite-time. Not only the robustness is guaranteed by the proposed controller but also the continuity makes the control algorithm more suitable for the servo mechanical systems. Finally, a numerical example is presented to depict the advantages of the proposed control algorithm. An application in the rotary servo system is done to validate the effectiveness of the proposed control strategy.

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Crossref · 10.1109/tie.2019.2931517

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Cites

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Metadata

Authors
Hou, H., Yu, X., Xu, L., Rsetam, K., & Cao, Z.
Venue
IEEE Transactions on Industrial Electronics
Published
2020-07
Volume
67
Issue
7
Pages
5647-5656
ISSN
  • 0278-0046 (ISSN-L)
  • 1557-9948
OpenAlex
W2965255349
Cited by
265
References
31
FWCI
11.38
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Finite-Time Continuous Terminal Sliding Mode Control of Servo Motor Systems. https://app.cochat.ai/papers/10.1109/tie.2019.2931517
The paper
Hou, H., Yu, X., Xu, L., Rsetam, K., & Cao, Z. (2020). Finite-Time Continuous Terminal Sliding Mode Control of Servo Motor Systems. IEEE Transactions on Industrial Electronics. https://doi.org/10.1109/tie.2019.2931517

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.