The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Survey of gain-scheduling analysis and design
Abstract
The gain-scheduling approach is perhaps one of the most popular non-linear control design approaches which has been widely and successfully applied in fields ranging from aerospace to process control. Despite the wide application of gainscheduling controllers and a diverse academic literature relating to gain-scheduling extending back nearly thirty years, there is a notable lack of a formal review of the literature. Moreover, whilst much of the classical gain-scheduling theory originates from the 1960s, there has recently been a considerable increase in interest in gain-scheduling in the literature with many new results obtained. An extended review of the gain-scheduling literature therefore seems both timely and appropriate. The scope of this paper includes the main theoretical results and design procedures relating to continuous gain-scheduling (in the sense of decomposition of non-linear design into linear sub-problems) control with the aim of providing both a critical overview and a useful entry point into the relevant literature.
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
Åström, K. J., & Wittenmark, B. (1989) · Cited by 5,020
(2012) · SpringerReference · doi:10.1007/springerreference_117570 · Cited by 4,486
Vidyasagar, M., & Johnson, S. H. (1978) · Journal of Dynamic Systems, Measurement, and Control · doi:10.1115/1.3426360 · Cited by 1,817
A convex characterization of gain-scheduled H/sub ∞/ controllers
Apkarian, P., & Gahinet, P. M. (1995) · IEEE Transactions on Automatic Control · doi:10.1109/9.384219 · Cited by 1,229
Disturbance attenuation and H/sub infinity /-control via measurement feedback in nonlinear systems
Isidori, A., & Astolfi, A. (1992) · IEEE Transactions on Automatic Control · doi:10.1109/9.159566 · Cited by 885
Fuzzy gain scheduling of PID controllers
Zhao, Z.-Y., Tomizuka, M., & Isaka, S. (1993) · IEEE Transactions on Systems, Man, and Cybernetics · doi:10.1109/21.260670 · Cited by 775
Constructing NARMAX models using ARMAX models
JOHANSEN, T. A., & FOSS, B. (1993) · International Journal of Control · doi:10.1080/00207179308923046 · Cited by 363
Singular perturbations on the infinite interval
Hoppensteadt, F. C. (1966) · Transactions of the American Mathematical Society · doi:10.1090/s0002-9947-1966-0194693-9 · Cited by 303
Fuzzy model based control: stability, robustness, and performance issues
Johansen, T. A. (1994) · IEEE Transactions on Fuzzy Systems · doi:10.1109/91.298450 · Cited by 159
On stability properties of nonlinear systems with slowly varying inputs
Khalil, H. K., & Kokotović, P. V. (1991) · IEEE Transactions on Automatic Control · doi:10.1109/9.67301 · Cited by 65
Cited by
Controllability of structural brain networks
Gu, S., Pasqualetti, F., Cieslak, M., Telesford, Q. K., Yu, A. B., Kahn, A. E., Medaglia, J. D., Vettel, J. M., Miller, M. B., Grafton, S. T., et al. (2015) · Nature Communications · doi:10.1038/ncomms9414 · Cited by 912
Reinforcement Learning for UAV Attitude Control
Koch, W., Mancuso, R., West, R., & Bestavros, A. (2019) · ACM Transactions on Cyber-Physical Systems · doi:10.1145/3301273 · Cited by 499
The State of Charge Estimation of Lithium-Ion Batteries Based on a Proportional-Integral Observer
Xu, J., Mi, C. C., Cao, B., Deng, J., Chen, Z., & Li, S. (2014) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2013.2287375 · Cited by 367
Xu, J., Mi, C. C., Cao, B., & Cao, J. (2013) · Journal of Power Sources · doi:10.1016/j.jpowsour.2013.01.094 · Cited by 304
Metadata
- Authors
- Leith, D. J., & Leithead, W. E.
- Venue
- International Journal of Control
- Publisher
- Informa UK Limited
- Published
- 2000-01
- Volume
- 73
- Issue
- 11
- Pages
- 1001-1025
- ISSN
- 0020-7179 (ISSN-L)
- 1366-5820
- OpenAlex
- W2027300760
- Cited by
- 939
- References
- 10
- FWCI
- 32.11
- 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: Survey of gain-scheduling analysis and design. https://app.cochat.ai/papers/10.1080/002071700411304
- The paper
- Leith, D. J., & Leithead, W. E. (2000). Survey of gain-scheduling analysis and design. International Journal of Control. https://doi.org/10.1080/002071700411304
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.
