Robust coalitional model predictive control with negotiation of mutual interactions Article Swipe
A. Sánchez-Amores
,
Paula Chanfreut
,
J. M. Maestre
,
Eduardo F. Camacho
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1016/j.jprocont.2023.01.017
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1016/j.jprocont.2023.01.017
This article presents a robust coalitional model predictive control (MPC) approach where neighboring agents negotiate the bounds of their coupling variables. Also, the control variables of each agent are divided into a private part that is locally optimized, and a public part that is controlled by the corresponding neighbors. Under certain conditions, the agents communicate to update the bounds that determine the constraints on these private and public variables. Moreover, the mutual disturbances induced by coupling are considered using a tube-based approach, guaranteeing recursive feasibility and stability of the closed-loop system. The proposed method is tested on a simulated eight-input coupled tank benchmark to illustrate its benefits.
Related Topics
Concepts
Benchmark (surveying)
Model predictive control
Control theory (sociology)
Coupling (piping)
Negotiation
Stability (learning theory)
Control (management)
Computer science
Control variable
Mathematical optimization
Mathematics
Engineering
Artificial intelligence
Machine learning
Law
Mechanical engineering
Geography
Political science
Geodesy
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.jprocont.2023.01.017
- OA Status
- hybrid
- Cited By
- 5
- References
- 29
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4319080380
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4319080380Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1016/j.jprocont.2023.01.017Digital Object Identifier
- Title
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Robust coalitional model predictive control with negotiation of mutual interactionsWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
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2023-02-03Full publication date if available
- Authors
-
A. Sánchez-Amores, Paula Chanfreut, J. M. Maestre, Eduardo F. CamachoList of authors in order
- Landing page
-
https://doi.org/10.1016/j.jprocont.2023.01.017Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
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https://doi.org/10.1016/j.jprocont.2023.01.017Direct OA link when available
- Concepts
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Benchmark (surveying), Model predictive control, Control theory (sociology), Coupling (piping), Negotiation, Stability (learning theory), Control (management), Computer science, Control variable, Mathematical optimization, Mathematics, Engineering, Artificial intelligence, Machine learning, Law, Mechanical engineering, Geography, Political science, GeodesyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
5Total citation count in OpenAlex
- Citations by year (recent)
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2025: 1, 2024: 1, 2023: 2, 2022: 1Per-year citation counts (last 5 years)
- References (count)
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29Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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