{
    "source":{
        "title":{
            "title":"Comparing Approaches to Distributed Control of Fluid Systems based on Multi-Agent Systems",
            "type":"Preprint",
            "status":"published",
            "URI":"https://doi.org/10.48550/arXiv.2212.08450",
            "author":[
                {
                    "name":"Kevin T. Logan",
                    "ORCID":"0000-0001-5512-2679"
                },
                {
                    "name":"J. Marius Stürmer",
                    "ORCID":""
                },
                {
                    "name":"Tim M. Müller",
                    "ORCID":"0000-0002-4153-6851"
                },
                {
                    "name":"Peter F. Pelz",
                    "ORCID":"0000-0002-0195-627X"
                }
            ]
        }
    },
    "caption":"Comparison of costs of Model Predictive Control, Multi-Agent Deep Reinforcement Learning and Market Mechanism for the 30 minutes scenario.",
    "Figure_Number":"6",
    "Figure":{
        "Line":[
            {
                "Name":"Comparison of Costs",
                "FurtherRessources":{
                    "File":"1800s_Trials.zip",
                    "URI":"https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/3625/1800s_Trials.zip"
                },
                "X_Axis":{
                    "Values":[1, 2, 3, 4, 5],
                    "Label":"[MPC, DMPC, MADRL centralized, MADRL partially observable, Market Mechanism]",
                    "Unit":"-"
                },
                "Y_Axis":{
                    "Values":[100, 100.3066562, 140.043075118433, 129.6031062, 135.385722939355],
                    "Label":"NORMED COSTS",
                    "Unit":"%"
                }
            }
        ]
    }
}