Selecting Building Predictive Control Based on Model Uncertainty
Mehdi Maasoumy, Meysam Razmara, Mahdi Shahbakhti, Alberto Sangiovanni-Vincentelli

Citation
Mehdi Maasoumy, Meysam Razmara, Mahdi Shahbakhti, Alberto Sangiovanni-Vincentelli. "Selecting Building Predictive Control Based on Model Uncertainty". IEEE American Control Conference, 4, June, 2014.

Abstract
Model uncertainty limits the utilization of Model Predictive Controllers (MPC) to minimize building energy consumption. We propose a new Robust Model Predictive Control (RMPC) structure to make a building controller robust to model uncertainty. The results from RMPC are compared with those from a nominal MPC and a common building Rule Based Control (RBC). The results are then used to develop a methodology for selecting a controller type (i.e. RMPC, MPC, and RBC) as a function of building model uncertainty. RMPC is found to be the desirable controller for the cases with an intermediate level (30%-67%) of model uncertainty, while MPC is preferred for the cases with a low level (0-30%) of model uncertainty. A common RBC is found to outperform MPC or RMPC if the model uncertainty goes beyond a certain threshold (e.g. 67%).

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  • HTML
    Mehdi Maasoumy, Meysam Razmara, Mahdi Shahbakhti, Alberto
    Sangiovanni-Vincentelli. <a
    href="http://www.terraswarm.org/pubs/258.html"
    >Selecting Building Predictive Control Based on Model
    Uncertainty</a>, IEEE American Control Conference, 4,
    June, 2014.
  • Plain text
    Mehdi Maasoumy, Meysam Razmara, Mahdi Shahbakhti, Alberto
    Sangiovanni-Vincentelli. "Selecting Building Predictive
    Control Based on Model Uncertainty". IEEE American
    Control Conference, 4, June, 2014.
  • BibTeX
    @inproceedings{MaasoumyRazmaraShahbakhtiSangiovanniVincentelli14_SelectingBuildingPredictiveControlBasedOnModelUncertainty,
        author = {Mehdi Maasoumy and Meysam Razmara and Mahdi
                  Shahbakhti and Alberto Sangiovanni-Vincentelli},
        title = {Selecting Building Predictive Control Based on
                  Model Uncertainty},
        booktitle = {IEEE American Control Conference},
        day = {4},
        month = {June},
        year = {2014},
        abstract = {Model uncertainty limits the utilization of Model
                  Predictive Controllers (MPC) to minimize building
                  energy consumption. We propose a new Robust Model
                  Predictive Control (RMPC) structure to make a
                  building controller robust to model uncertainty.
                  The results from RMPC are compared with those from
                  a nominal MPC and a common building Rule Based
                  Control (RBC). The results are then used to
                  develop a methodology for selecting a controller
                  type (i.e. RMPC, MPC, and RBC) as a function of
                  building model uncertainty. RMPC is found to be
                  the desirable controller for the cases with an
                  intermediate level (30%-67%) of model uncertainty,
                  while MPC is preferred for the cases with a low
                  level (0-30%) of model uncertainty. A common RBC
                  is found to outperform MPC or RMPC if the model
                  uncertainty goes beyond a certain threshold (e.g.
                  67%).},
        URL = {http://terraswarm.org/pubs/258.html}
    }
    

Posted by Mehdi Maasoumy on 10 Feb 2014.

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