Multi-agent model predictive control based on resource allocation coordination for a class of hybrid systems with limited information sharing
We develop a multi-agent model predictive control method for a class of hybrid systems governed by discrete inputs and subject to global hard constraints. We assume that for each subsystem the local objective function is convex and the local constraint function is strictly increasing with respect to...
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Published in | Engineering applications of artificial intelligence Vol. 58; pp. 123 - 133 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Elsevier Ltd
01.02.2017
Elsevier |
Subjects | |
Online Access | Get full text |
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