The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Sliding Mode Observer-Based FTC for Markovian Jump Systems With Actuator and Sensor Faults
Abstract
This paper addresses the stabilization problem for nonlinear Markovian jump systems (MJS) with output disturbances, actuator and sensor faults simultaneously. This kind of plants are common in practical systems, such as mobile manipulators with switching joints. In this paper, a sliding mode observer design scheme is proposed for a new descriptor augmented plant. By employing the developed observer, the effects of actuator and sensor faults can be eliminated. It is shown that the stabilization of the overall closed-loop plant can be guaranteed by the proposed fault tolerant control (FTC) scheme. Finally, an example concerning mobile manipulators with Markovian switching joints is presented to show the effectiveness and applicability of the theoretical results.
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
Data-based techniques focused on modern industry: An overview
Yin, S., Li, X., Gao, H., & Kaynak, O. (2015) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2014.2308133 · Cited by 1,025
Self-citation
Cited by
Kivanc, O. C., & Ozturk, S. B. (2018) · IEEE/ASME Transactions on Mechatronics · doi:10.1109/tmech.2018.2817246 · Cited by 264
Zhu, F., Shan, Y., & Tang, Y. (2021) · International Journal of Control, Automation and Systems · doi:10.1007/s12555-020-0618-z · Cited by 31
Metadata
- Authors
- Yin, S., Yang, H., & Kaynak, O.
- Venue
- IEEE Transactions on Automatic Control
- Published
- 2017-07
- Volume
- 62
- Issue
- 7
- Pages
- 3551-3558
- ISSN
- 0018-9286 (ISSN-L)
- 1558-2523
- OpenAlex
- W2588638671
- Cited by
- 249
- References
- 1
- FWCI
- 25.48
- 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: Sliding Mode Observer-Based FTC for Markovian Jump Systems With Actuator and Sensor Faults. https://app.cochat.ai/papers/10.1109/tac.2017.2669189
- The paper
- Yin, S., Yang, H., & Kaynak, O. (2017). Sliding Mode Observer-Based FTC for Markovian Jump Systems With Actuator and Sensor Faults. IEEE Transactions on Automatic Control. https://doi.org/10.1109/tac.2017.2669189
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.