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domain methodologies generally, machine learning techniques, OR complexity analysis/nonlinear dynamics are particularly well-matched to the opportunity, but applicants with theoretical expertise
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design needs to find a delicate balance between fluid dynamics, electro-mechanical performance, and safety. Computational Fluid Dynamics (CFD) methods, widely used for this purpose, require large
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of Toronto Mississauga (UTM) Description: Course number and title : MAT332H5F Intro to Nonlin Dynamics & Chaos (emergency post) Course description : Stability in nonlinear systems of differential
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questions on the link between network structure and functionality. - Capture the nonlinear dynamics of these networks using theory and numerical simulations. - Design and perform table-top robotic
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questions on the link between network structure and functionality. - Capture the nonlinear dynamics of these networks using theory and numerical simulations. - Design and perform table-top robotic
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relevant Hilbert spaces grow rapidly, the dynamics are non-Gaussian and nonlinear, and the circuits must be mapped carefully to hardware topology while retaining useful observables. The project
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applications. Current, wave, and offshore wind energy harvesters are complex systems whose design needs to find a delicate balance between fluid dynamics, electro-mechanical performance, and safety
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, particularly due to the lack of generation inertia worsening power system stability. Control of such a complex system relies on detailed understanding and real-time modelling of the nonlinear dynamics resulting
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: Modelling & design of a novel versatile MEMS sensor measuring dynamic torque & motion for automotive powertrains, via nonlinear dynamics accounting for variations in powertrain operating conditions
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strongly coupled and nonlinear dynamics of the platform. The thesis will investigate the interaction between aerodynamics, hydrodynamics, propulsion, energy management, and control. Particular attention