Multi-Agent Model Predictive Control: A Survey
R. R. Negenborn, B. De Schutter, J. Hellendoorn
TL;DR
This survey reviews multi-agent Model Predictive Control, focusing on how recent research addresses decomposition, problem assignment, and cooperation among agents in control systems.
Contribution
It provides a comprehensive overview of multi-agent MPC, highlighting key design elements and how they are implemented in recent literature.
Findings
Multi-agent MPC involves decomposition and cooperation strategies.
Recent literature emphasizes problem assignment techniques.
The survey identifies gaps and future directions in multi-agent MPC.
Abstract
In this report we define characteristic control design elements and show how conventional single-agent MPC implements these. We survey recent literature on multi-agent MPC and discuss how this literature deals with decomposition, problem assignment, and cooperation.
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Taxonomy
TopicsAdvanced Control Systems Optimization · Fault Detection and Control Systems · Microbial Metabolic Engineering and Bioproduction