Application of Distributed Model Predictive Approaches to Temperature and CO2 Concentration Control in Buildings * *This work is supported by TOPAS H2020 project, GA nb 676760 (https://www.topas-eeb.eu/). This work has been performed while S. Walker and W. lombardy were resp. internship and research-engineer in CEA-LETI.-Reference-Cited by-同舟云学术

Application of Distributed Model Predictive Approaches to Temperature and CO2 Concentration Control in Buildings * *This work is supported by TOPAS H2020 project, GA nb 676760 (https://www.topas-eeb.eu/). This work has been performed while S. Walker and W. lombardy were resp. internship and research-engineer in CEA-LETI.

Published:2017-07 Issue:1 Volume:50 Page:2589-2594
ISSN:2405-8963
Container-title:IFAC-PapersOnLine
language:en
Short-container-title:IFAC-PapersOnLine

Author:

Walker Shalika S.W.,Lombardi Warody,Lesecq Suzanne,Roshany-Yamchi Samira

Publisher

Elsevier BV

Subject

Control and Systems Engineering

Reference18 articles.

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2. Model predictive control;Camacho,2013

3. A multivariable nonlinear mpc control strategy for thermal comfort and indoor-air quality;Castilla,2013

4. Distributed model predictive control: A tutorial review and future research directions;Christofides;Computers & Chemical Engineering,2013

5. Model Predictive Control for Buildings. Ph.D. thesis;Cigler,2013

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