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Robust model predictive control for nonlinear discrete‐time systems
Abstract
This paper describes a model predictive control (MPC) algorithm for the solution of a state‐feedback robust control problem for discrete‐time nonlinear systems. The control law is obtained through the solution of a finite‐horizon dynamic game and guarantees robust stability in the face of a class of bounded disturbances and/or parameter uncertainties. A simulation example is reported to show the applicability of the method. Copyright © 2003 John Wiley & Sons, Ltd.
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Citations
Cited by
Tube‐based robust nonlinear model predictive control
Mayne, D. Q., Kerrigan, E. C., van Wyk, E. J., & Falugi, P. (2011) · International Journal of Robust and Nonlinear Control · doi:10.1002/rnc.1758 · Cited by 462
Rubagotti, M., Raimondo, D. M., Ferrara, A., & Magni, L. (2011) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2010.2074590 · Cited by 196
Self-citationA Distributionally Robust Optimization Based Method for Stochastic Model Predictive Control
Li, B., Tan, Y., Wu, A.-G., & Duan, G.-R. (2022) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2021.3124750 · Cited by 156
Metadata
- Authors
- Magni, L., De Nicolao, G., Scattolini, R., & Allgöwer, F.
- Venue
- International Journal of Robust and Nonlinear Control
- Publisher
- Wiley
- Published
- 2003-02-20
- Volume
- 13
- Issue
- 3-4
- Pages
- 229-246
- ISSN
- 1049-8923 (ISSN-L)
- 1099-1239
- OpenAlex
- W1997370378
- Cited by
- 229
- References
- 0
- FWCI
- 16.52
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Robust model predictive control for nonlinear discrete‐time systems. https://app.cochat.ai/papers/10.1002/rnc.815
- The paper
- Magni, L., De Nicolao, G., Scattolini, R., & Allgöwer, F. (2003). Robust model predictive control for nonlinear discrete‐time systems. International Journal of Robust and Nonlinear Control. https://doi.org/10.1002/rnc.815
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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.
