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A Coalitional Distributed Model Predictive Control Perspective for a Cyber-Physical Multi-Agent Application
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DOI：10.3390/s21124041.png)
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摘要
En 中文
Following the current technological development and informational advancement, more and more physical systems have become interconnected and linked via communication networks. The objective of this work is the development of a Coalitional Distributed Model Predictive Control (C- DMPC) strategy suitable for controlling cyber-physical, multi-agent systems. The motivation behind this endeavour is to design a novel algorithm with a flexible control architecture by combining the advantages of classical DMPC with Coalitional MPC. The simulation results were achieved using a test scenario composed of four dynamically coupled sub-systems, connected through an unidirectional communication topology. The obtained results illustrate that, when the feasibility of the local optimization problem is lost, forming a coalition between neighbouring agents solves this shortcoming and maintains the functionality of the entire system. These findings successfully prove the efficiency and performance of the proposed coalitional DMPC method.
Keyword:
coalitional model predictive control
distributed model-predictive control
multi-agent systems
closed-loop stability
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3.5
论文数:
7.2W
被引数:
20.9W
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