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Optimization-based control explores the use of optimization algorithms for feedback control of dynamical systems. For example, model predictive control (MPC) is a widely used optimization-based control method
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. • Characterisation of cooperation amongst elements of a network in terms of robustness and optimality. • Synthesis and design of nonlinear distributed controllers. • Data-driven control in a nonlinear setting. This
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lead to increased NOx emissions to the environment, and therefore require the need for downtime and maintenance. Shape optimisation methods such as adjoint have been employed to create optimal designs in
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, optimizes power output, and ensures long structural life. Turbine rotational speed and the generator speed are two key areas that you must control for power limitation and optimization. This project will
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has been used on large scale biogas plants but the optimal operation has not been fully investigated. Existing validated models will be used to design the process conditions to give optimal conversion
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stage and then propagate due to fatigue which poses a serious hazard. A compromise between specific strength and safety of the composite structures is crucial for an optimal design. Different composite
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at Leeds and will be validated against measurement data. The successful outcome of this research will be very useful for fuel selection and combustion system optimization for future power generation plant
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carriers of micro-organisms, the provision of optimal water content, etc. Modelling will be used to describe mechanistic interactions and design co-digestion strategies in different scenarios, which will be
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Kevin Hughes Application Deadline: Applications accepted all year round Details This project will investigate advanced strategies for the design, integration and optimization of hybrid wind/photovoltaic
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to the structure integrity and noise generation of the turbine. The proposed research will focus on modeling and optimization of aerodynamic flow over a turbine blade in order to decrease the drag, and control noise