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accepted all year round Details Dynamic optimization is integral to many aspects of science and engineering, commonly found in trajectory optimization, optimal control (e.g. model predictive control, MPC
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that the silk structures contain. Are advantages conferred due to the porosity? Can the degree of porosity be controlled/tailored? Can the silk structures be used in catalysis or as delivery agents because
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, electricity market demands require more flexible controlling of the power plant output. These operation specifications can be satisfied by proper design of the process, its equipment and control system. A
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key driving force for reaction and absorption of mercury in power plants. A predictive model for mercury behaviour in oxyfuel power plants would help select suitable control strategies. This project
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resources and mobility (some can be fixed, others mobile). The quality of service (QoS) requirements are diverse ranging from time-critical data to support robotics, fire control to background data, saving
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of nonlinear systems. These methods will identify unstable states, design stabilizing or optimal controllers and compute invariant sets. There is scope here to combine traditional model-based methods with new
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2016). This program will develop the 2nd generation of ingestible, magnetically controlled robots and tools that will replace conventional surgical tools. We require applicants to have either
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(e.g., Intelligent Speed Assistance). Applicable methods include quantitative surveys, qualitative interviews, video-based skills assessments and randomised controlled trials. Initial Reading Lazuras, L
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calculate and simulate the hybrid system of several design scenarios. Advanced control strategies will be developed to match the load with the variations of solar/wind energy generation and storage. Funding
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diagnostic tools. Based on the understanding gained, active control of flame dynamics will be attempted. Funding Notes 1st or 2:1 degree in Engineering, Materials Science, Physics, Chemistry, Applied