The DOI matches its Crossref record.
A linear matrix inequality approach to H∞control
Abstract
The continuous‐ and discrete‐time H∞control problems are solved via elementary manipulations on linear matrix inequalities (LMI). Two interesting new features emerge through this approach: solvability conditions valid for both regular and singular problems, and an LMI‐based parametrization of all H∞‐suboptimal controllers, including reduced‐order controllers. The solvability conditions involve Riccati inequalities rather than the usual indefinite Riccati equations. Alternatively, these conditions can be expressed as a system of three LMIs. Efficient convex optimization techniques are available to solve this system. Moreover, its solutions parametrize the set of H∞controllers and bear important connections with the controller order and the closed‐loop Lyapunov functions. Thanks to such connections, the LMI‐based characterization of H∞controllers opens new perspectives for the refinement of H∞design. Applications to cancellation‐free design and controller order reduction are discussed and illustrated by examples.
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
Goebel, R., Sanfelice, R. G., & Teel, A. R. (2009) · IEEE Control Systems · doi:10.1109/mcs.2008.931718 · Cited by 1,656
Robust Adaptive Sliding-Mode Control for Fuzzy Systems With Mismatched Uncertainties
Zhang, J., Shi, P., & Xia, Y. (2010) · IEEE Transactions on Fuzzy Systems · doi:10.1109/tfuzz.2010.2047506 · Cited by 304
Optimum Value of Negative Stiffness and Additional Damping in Civil Structures
Qu, C., Li, H.-N., Huo, L., & Yi, T.-H. (2017) · Journal of Structural Engineering · doi:10.1061/(asce)st.1943-541x.0001805 · Cited by 28
Metadata
- Authors
- Gahinet, P., & Apkarian, P.
- Venue
- International Journal of Robust and Nonlinear Control
- Publisher
- Wiley
- Published
- 1994-01
- Volume
- 4
- Issue
- 4
- Pages
- 421-448
- ISSN
- 1049-8923 (ISSN-L)
- 1099-1239
- OpenAlex
- W2039867272
- Cited by
- 3,237
- References
- 0
- FWCI
- 85.47
- 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: A linear matrix inequality approach to H∞control. https://app.cochat.ai/papers/10.1002/rnc.4590040403
- The paper
- Gahinet, P., & Apkarian, P. (1994). A linear matrix inequality approach to H∞control. International Journal of Robust and Nonlinear Control. https://doi.org/10.1002/rnc.4590040403
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.