Journal article
Guest editorial special issue on state-of-the-art applications of model predictive control
- Abstract:
- Advancements in computing hardware and refinements of numerical solvers for convex optimization problems have prompted a burst of interest in the utilization of model predictive control (MPC) to a myriad of challenging control problems and scenarios. Undoubtedly, the tremendous success enjoyed by model-predictive controllers across a wide variety of industrial and technological settings is ascribable to the potential for optimizing performance while guaranteeing the satisfaction of system constraints via recursive online optimization. This unique capability represents a most appealing feature in contexts where autonomy, safety, reliability, flexibility, and cost-effectiveness are important or essential requirements.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
Actions
Access Document
- Files:
-
-
(Preview, Accepted manuscript, pdf, 133.9KB, Terms of use)
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- Publisher copy:
- 10.1109/tcst.2023.3291545
Authors
- Publisher:
- IEEE
- Journal:
- IEEE Transactions on Control Systems Technology More from this journal
- Volume:
- 31
- Issue:
- 5
- Pages:
- 1965-1970
- Publication date:
- 2023-08-18
- Acceptance date:
- 2023-06-29
- DOI:
- EISSN:
-
1558-0865
- ISSN:
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1063-6536
- Language:
-
English
- Keywords:
- Pubs id:
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1514660
- Local pid:
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pubs:1514660
- Deposit date:
-
2025-02-18
Terms of use
- Copyright holder:
- IEEE
- Copyright date:
- 2023
- Rights statement:
- © 2023 IEEE.
- Notes:
- This is the accepted manuscript version of the article. The final version is available online from IEEE at https://dx.doi.org/10.1109/tcst.2023.3291545
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