The DOI matches its Crossref record.
Multi-Parametric Toolbox 3.0
Open accessAbstract
The Multi-Parametric Toolbox is a collection of algorithms for modeling, control, analysis, and deployment of constrained optimal controllers developed under Matlab. It features a powerful geometric library that extends the application of the toolbox beyond optimal control to various problems arising in computational geometry. The new version 3.0 is a complete rewrite of the original toolbox with a more flexible structure that offers faster integration of new algorithms. The numerical side of the toolbox has been improved by adding interfaces to state of the art solvers and by incorporation of a new parametric solver that relies on solving linear-complementarity problems. The toolbox provides algorithms for design and implementation of real-time model predictive controllers that have been extensively tested.
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
Predictive Control for Linear and Hybrid Systems
Borrelli, F., Bemporad, A., & Morari, M. (2017) · Cambridge University Press eBooks · doi:10.1017/9781139061759 · Cited by 1,443
Self-citationAll you need to know about model predictive control for buildings
Drgoňa, J., Arroyo, J., Cupeiro Figueroa, I., Blum, D., Arendt, K., Kim, D., Ollé, E. P., Oravec, J., Wetter, M., Vrabie, D. L., et al. (2020) · Annual Reviews in Control · doi:10.1016/j.arcontrol.2020.09.001 · Cited by 1,020
acados—a modular open-source framework for fast embedded optimal control
Verschueren, R., Frison, G., Kouzoupis, D., Frey, J., Duijkeren, N. V., Zanelli, A., Novoselnik, B., Albin, T., Quirynen, R., & Diehl, M. (2022) · Mathematical Programming Computation · doi:10.1007/s12532-021-00208-8 · Cited by 485
(2022) · doi:10.1109/isgt-europe54678.2022.9960351 · Cited by 14
Metadata
- Authors
- Herceg, M., Kvasnica, M., Jones, C. N., & Morari, M.
- Venue
- 2013 European Control Conference (ECC)
- Publisher
- IEEE
- Published
- 2013-07
- Pages
- 502-510
- OpenAlex
- W1524886571
- Cited by
- 1,178
- References
- 0
- FWCI
- 95.05
- Type
- conference paper
- Language
- en
- Open access
- green
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: Multi-Parametric Toolbox 3.0. https://app.cochat.ai/papers/10.23919/ecc.2013.6669862
- The paper
- Herceg, M., Kvasnica, M., Jones, C. N., & Morari, M. (2013). Multi-Parametric Toolbox 3.0. 2013 European Control Conference (ECC). https://doi.org/10.23919/ecc.2013.6669862
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.
