Subventions et des contributions :

Subvention ou bourse octroyée s'appliquant à plus d'un exercice financier (2017-2018 à 2018-2019).

The purpose of this project is to develop intelligent control and estimation techniques for solar thermalx000D
windows and garage doors that optimize energy efficiency while ensuring safe and reliable operation. Thex000D
intelligent techniques will be based on machine learning strategies (e.g., artificial neural networks) and variablex000D
structure theory. The proposed research offers improvements to control and estimation accuracy, robustness tox000D
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 bex000D
transferable to clean energy industries to ensure more reliability, efficiency, and cost-efficient solutions to helpx000D
them remain competitive in the market. In addition, the proposed project will provide training for a graduatex000D
student and team of undergraduates on advanced mechatronic systems in modeling, sensing, and control. Thesex000D
highly qualified personnel (HQP) will contribute to the workforce of Canadian automation and manufacturingx000D
industries.