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control using time delays. Specifically, the objectives are to: Identify dynamical systems (ODEs or PDEs) that can benefit from a controller that uses output derivatives. Construct and compare different
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Lyapunov functionals, linear matrix inequalities, Fourier series, and operator semigroups. Key objectives Exploring Various PDEs: Engage with a diverse range of PDEs, including reaction-diffusion equations
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applications to improve crop yield, water management, and nutrient optimisation. PhD students will be involved in the development of novel sensors for mixed field neutron and gamma ray detection in the field
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your interest. We strongly recommend you contact the project supervisor after completing the form to speak to them about your suitability for the project. You can find their details on the project
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to rural areas to facilitate the higher demands, or find a different approach avoiding expensive grid reinforcement. If this is not done, such areas risk being left behind in the race to net zero, in
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and responsibilities Management of the Student Registry, ensuring that processes, systems and services align with the University's overall strategic objectives. Development of the student record
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performance and reliability of mechanical systems. Project Objectives System identification. We will start by constructing a physical model of a flexible beam, using the Euler-Bernoulli beam equation and
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, mass spectrometry). Our work includes both lab and field studies. Applicants should have a minimum 2.1 undergraduate honours degree and/or an MSc degree with Merit in relevant subjects. You can find
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together to find new ways to integrate renewable energies into power grids. We are part of the Department of Automatic Control and Systems Engineering (ACSE) within Sheffield Engineering Faculty. If you need
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Machine Learning Methods for Enhancing Autonomy of Unmanned Aerial Vehicles in Wildfire Detection and Localisation