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on electric machine drives and power converters. Our work spans from fundamental modelling and analysis to advanced control design and system optimization. Our specialty is developing embedded control
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University of British Columbia | Northern British Columbia Fort Nelson, British Columbia | Canada | 2 months ago
to inform policy decisions that balance economic performance with environmental conservation. Project overview The primary objective is to develop realistic multi-species fish models that determine optimal
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on reliability, security, and resilience of microgrid systems. This includes advanced control system design, modeling and analysis, control architecture design and communication-based control and optimization
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optimizing the squeezing of the vacuum to minimize quantum noise, a prototype cryogenic interferometer, using machine learning for nonlinear feedback control, devising techniques to quell opto-mechanical
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is close. Our cohesive campuses make it easy to meet, work together and exchange knowledge, which promotes a dynamic and open culture. The ongoing societal transformation and large green investments in
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random dynamics. You will work on quantifying the typical times of observability for the different transient phenomena and elaborating criteria for a dynamically optimal decomposition of the state space