The DOI matches its Crossref record; 51 of the 51 references it cites were found in a registry or an index.
Finite Time Fault Tolerant Control for Robot Manipulators Using Time Delay Estimation and Continuous Nonsingular Fast Terminal Sliding Mode Control
Abstract
In this paper, a novel finite time fault tolerant control (FTC) is proposed for uncertain robot manipulators with actuator faults. First, a finite time passive FTC (PFTC) based on a robust nonsingular fast terminal sliding mode control (NFTSMC) is investigated. Be analyzed for addressing the disadvantages of the PFTC, an AFTC are then investigated by combining NFTSMC with a simple fault diagnosis scheme. In this scheme, an online fault estimation algorithm based on time delay estimation (TDE) is proposed to approximate actuator faults. The estimated fault information is used to detect, isolate, and accommodate the effect of the faults in the system. Then, a robust AFTC law is established by combining the obtained fault information and a robust NFTSMC. Finally, a high-order sliding mode (HOSM) control based on super-twisting algorithm is employed to eliminate the chattering. In comparison to the PFTC and other state-of-the-art approaches, the proposed AFTC scheme possess several advantages such as high precision, strong robustness, no singularity, less chattering, and fast finite-time convergence due to the combined NFTSMC and HOSM control, and requires no prior knowledge of the fault due to TDE-based fault estimation. Finally, simulation results are obtained to verify the effectiveness of the proposed strategy.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Handbook of Mathematical Functions with Formulas, Graphs, and Mathematical Tables
W., J. W., Abramowitz, M., & Stegun, I. A. (1965) · Mathematics of Computation · doi:10.2307/2004114 · Cited by 18,663
Sliding Modes in Control and Optimization
Utkin, V. I. (1992) · Springer eBooks · doi:10.1007/978-3-642-84379-2 · Cited by 6,684
Gao, Z., Cecati, C., & Ding, S. X. (2015) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2015.2417501 · Cited by 3,135
Continuous finite-time control for robotic manipulators with terminal sliding mode
Yu, S., Yu, X., Shirinzadeh, B., & Man, Z. (2005) · Automatica · doi:10.1016/j.automatica.2005.07.001 · Cited by 2,647
Non-singular terminal sliding mode control of rigid manipulators
Feng, Y., Yu, X., & Man, Z. (2002) · Automatica · doi:10.1016/s0005-1098(02)00147-4 · Cited by 2,322
Robust exact differentiation via sliding mode technique
Levant, A. (1998) · Automatica · doi:10.1016/s0005-1098(97)00209-4 · Cited by 2,292
Digital control of dynamic systems
Anderson, B. (1981) · IEEE Transactions on Acoustics, Speech, and Signal Processing · doi:10.1109/tassp.1981.1163502 · Cited by 1,690
Sliding mode observers for fault detection and isolation
Edwards, C., Spurgeon, S. K., & Patton, R. J. (2000) · Automatica · doi:10.1016/s0005-1098(99)00177-6 · Cited by 1,343
Adaptive Neural Network Control of an Uncertain Robot With Full-State Constraints
He, W., Chen, Y., & Yin, Z. (2016) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2015.2411285 · Cited by 1,273
Chattering avoidance by second-order sliding mode control
Bartolini, G., Ferrara, A., & Usai, E. (1998) · IEEE Transactions on Automatic Control · doi:10.1109/9.661074 · Cited by 1,058
Cited by
Van, M., Mavrovouniotis, M., & Ge, S. S. (2019) · IEEE Transactions on Systems, Man, and Cybernetics: Systems · doi:10.1109/tsmc.2017.2782246 · Cited by 478
Self-citationPhan, V. D., Vo, C. P., Dao, H. V., & Ahn, K. K. (2021) · IEEE Access · doi:10.1109/access.2021.3101038 · Cited by 44
Taefi, M., & Khosravi, M. A. (2024) · International Journal of Robust and Nonlinear Control · doi:10.1002/rnc.7379 · Cited by 13
Xia, Y., Liu, Y., & Sun, W. (2025) · Nonlinear Dynamics · doi:10.1007/s11071-024-10751-3 · Cited by 13
Metadata
- Authors
- Van, M., Ge, S. S., & Ren, H.
- Venue
- IEEE Transactions on Cybernetics
- Published
- 2017-07
- Volume
- 47
- Issue
- 7
- Pages
- 1681-1693
- ISSN
- 2168-2267 (ISSN-L)
- 2168-2275
- OpenAlex
- W2343067029
- Cited by
- 486
- References
- 51
- FWCI
- 28.34
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Finite Time Fault Tolerant Control for Robot Manipulators Using Time Delay Estimation and Continuous Nonsingular Fast Terminal Sliding Mode Control. https://app.cochat.ai/papers/10.1109/tcyb.2016.2555307
- The paper
- Van, M., Ge, S. S., & Ren, H. (2017). Finite Time Fault Tolerant Control for Robot Manipulators Using Time Delay Estimation and Continuous Nonsingular Fast Terminal Sliding Mode Control. IEEE Transactions on Cybernetics. https://doi.org/10.1109/tcyb.2016.2555307
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.