Reference number : GC-2017-Q2-04396, amendment number : , agreement type : G, recipient legal name : Gadsden, Stephen Andrew (University of Guelph), recipient country : CA, recipient province : nan, recipient city : Ontario, recipient postal code : nan, program name english : Engage Grants for Universities, program name french : Subventions d'engagement partenarial pour les universités, program purpose english : The purpose of this project is to develop intelligent control and estimation techniques for solar thermal_x000D_
windows and garage doors that optimize energy efficiency while ensuring safe and reliable operation. The_x000D_
intelligent techniques will be based on machine learning strategies (e.g., artificial neural networks) and variable_x000D_
structure theory. The proposed research offers improvements to control and estimation accuracy, robustness to_x000D_
external disturbances, reliability, and safety. The developed techniques will help sustainable or 'green'_x000D_
industries that deal with control techniques and mechatronic systems. Furthermore, the technology will be_x000D_
transferable to clean energy industries to ensure more reliability, efficiency, and cost-efficient solutions to help_x000D_
them remain competitive in the market. In addition, the proposed project will provide training for a graduate_x000D_
student and team of undergraduates on advanced mechatronic systems in modeling, sensing, and control. These_x000D_
highly qualified personnel (HQP) will contribute to the workforce of Canadian automation and manufacturing_x000D_
industries., program purpose french : The purpose of this project is to develop intelligent control and estimation techniques for solar thermal_x000D_
windows and garage doors that optimize energy efficiency while ensuring safe and reliable operation. The_x000D_
intelligent techniques will be based on machine learning strategies (e.g., artificial neural networks) and variable_x000D_
structure theory. The proposed research offers improvements to control and estimation accuracy, robustness to_x000D_
external disturbances, reliability, and safety. The developed techniques will help sustainable or 'green'_x000D_
industries that deal with control techniques and mechatronic systems. Furthermore, the technology will be_x000D_
transferable to clean energy industries to ensure more reliability, efficiency, and cost-efficient solutions to help_x000D_
them remain competitive in the market. In addition, the proposed project will provide training for a graduate_x000D_
student and team of undergraduates on advanced mechatronic systems in modeling, sensing, and control. These_x000D_
highly qualified personnel (HQP) will contribute to the workforce of Canadian automation and manufacturing_x000D_
industries., agreement title english : Intelligent Control Systems for Green Technology, agreement title french : Intelligent Control Systems for Green Technology, agreement number : EGP, agreement value : 25000.0, agreement start date : 2017-09-20, agreement end date : nan, description english : nan, description french : nan, expected results english : nan, expected results french : nan, additional information english : Grant or Award spanning more than one fiscal year (2017-2018 to 2018-2019)., additional information french : Subvention ou bourse octroyée s'appliquant à plus d'un exercice financier (2017-2018 à 2018-2019)., owner organization : nserc-crsng, owner organization title : Natural Sciences and Engineering Research Council of Canada | Conseil de recherches en sciences naturelles et en génie du Canada