Distributed Model Predictive Control: An Overview and Roadmap of Future Research Opportunities
Abstract
Model-predictive control (MPC) is an optimization-based control technique that uses 1) a mathematical model of a system to predict the system's behavior over a given horizon, 2) an objective function that represents what system behavior is desirable, 3) a mathematical formalization of operational constraints that have to be satisfied, 4) measurements of the state of the system at each time step, and 5) any information regarding upcoming disturbances that may be available. This article surveyed and categorized 35 distributed MPC approaches. Subsequently, several of the insights gained from the survey were presented. This study provides a picture of what features have received more or less attention over the last years, bringing about potential research niches for new approaches.
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Other attempts to exploit multirobot systems for entertainment have relied on some centralized solution to finely control the system.
“In a similar way, other attempts to exploit multirobot systems for entertainment have relied on some centralized solution to finely control the system [132], [133].”
From Swarm Robotics: Past, Present, and Future [Point of View] (2021) · cites this paper as [133]
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Swarm Robotics: Past, Present, and Future [Point of View]
Dorigo, M., Theraulaz, G., & Trianni, V. (2021) · Proceedings of the IEEE · doi:10.1109/jproc.2021.3072740 · Cited by 401 · see citing works
- Authors
- Negenborn, R. R., & Maestre, J. M.
- Affiliations
- Delft University of Technology (NL)
- Universidad de Sevilla (ES)
- Venue
- IEEE Control Systems
- Published
- 2014-08
- Volume
- 34
- Issue
- 4
- Pages
- 87-97
- ISSN
- 1066-033X (ISSN-L)
- 1941-000X
- OpenAlex
- W2333393323
- Cited by
- 383
- References
- 0
- Citations by year
- 2026: 14 · 2025: 35 · 2024: 34 · 2023: 45 · 2022: 31 · 2021: 40 · 2020: 31 · 2019: 37 · 2018: 44 · 2017: 31 · 2016: 20 · 2015: 19 · 2014: 2
- FWCI
- 26.76
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- IEEE Control Systems (publishedVersion)
- Topics
- Physical Sciences › Engineering › Control and Systems Engineering › Advanced Control Systems Optimization
- Physical Sciences › Computer Science › Computer Networks and Communications › Distributed Control Multi-Agent Systems
- Physical Sciences › Mathematics › Numerical Analysis › Advanced Optimization Algorithms Research
- Keywords
- distributed model predictive control, model predictive control, research directions, multi-agent control, optimization-based control, operational constraints
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