The DOI matches its Crossref record.
On stability analysis of active disturbance rejection control for nonlinear time-varying plants with unknown dynamics
Abstract
This paper concerns with stability characteristics of active disturbance rejection control for nonlinear time varying plants that are largely unknown. In particular, as ymptotic stability is established where the plant dynamics is completely known. In the face of large dynamic uncertainties, estimation and tracking errors are shown to be bounded, with their bounds monotonously decreasing with their respective bandwidths.
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
Cited by
Yao, J., Jiao, Z., & Ma, D. (2014) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2014.2304912 · Cited by 708
Survey on methods of increasing the efficiency of extended state disturbance observers
Madoński, R., & Herman, P. (2015) · ISA Transactions · doi:10.1016/j.isatra.2014.11.008 · Cited by 271
Guo, Q., Zhang, Y., Celler, B. G., & Su, S. W. (2016) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2016.2585080 · Cited by 257
ESO-based robust and high-precision tracking control for aerial manipulation
Cao, H., Li, Y., Liu, C., & Zhao, S. (2024) · IEEE Transactions on Automation Science and Engineering · doi:10.1109/tase.2023.3260874 · Cited by 87
Adaptive sliding mode control of an electro-hydraulic actuator with a kalman extended state observer
Lao, L., & Chen, P. (2024) · IEEE Access · doi:10.1109/access.2024.3349946 · Cited by 31
“The linear ESO (LESO) [28], [29] replaces nonlinear feedback with linear high-gain feedback to suppress disturbances.”
Background
Metadata
- Authors
- Zheng, Q., Gaol, L. Q., & Gao, Z.
- Venue
- 2007 46th IEEE Conference on Decision and Control
- Publisher
- IEEE
- Published
- 2007
- Pages
- 3501-3506
- ISSN
- 0191-2216 (ISSN-L)
- OpenAlex
- W2142886492
- Cited by
- 507
- References
- 0
- FWCI
- 2.87
- Type
- conference paper
- 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: On stability analysis of active disturbance rejection control for nonlinear time-varying plants with unknown dynamics. https://app.cochat.ai/papers/10.1109/cdc.2007.4434676
- The paper
- Zheng, Q., Gaol, L. Q., & Gao, Z. (2007). On stability analysis of active disturbance rejection control for nonlinear time-varying plants with unknown dynamics. 2007 46th IEEE Conference on Decision and Control. https://doi.org/10.1109/cdc.2007.4434676
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.
