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The proposed research aims to develop an innovative control framework to deal with safety-critical systems in which the plant’s safety constraints must be fulfilled regardless of the possible presence of unpredictable disturbances and measurement noise. The technology developed by this project is expected to be beneficial in different application domains of current interest to Quebec, Canada, and the world, such as smart grids, intelligent transportation systems, medical technologies, and industry 4.0.
In the project’s first phase, the student (Jackson Ernesto) will perform an in-depth literature review. Then, in the second phase, he will develop novel control strategies to ensure the stability and the safety of linear parameter varying systems subject to disturbances and limitations on the actuation signal. In the third phase, he will validate the proposed solution by implementing it into the Matlab/Simulink environment, where a near-to-real testbed system will be considered. Moreover, the proposed solution will be contrasted with different state-of-the-art approaches. Finally, during the final phase, the student, under the guidance of the home supervisor (Dr. Eugênio Castelan) and host (Dr. Walter Lucia) supervisors will prepare a research manuscript.
Walter Lucia
Universidade Federal de Santa Catarina
Engineering
Education
Concordia University
Globalink Research Award
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