Sort by
Refine Your Search
-
based knowledge of the system offers a unique opportunity to enhance the understanding, prediction, and optimization of body dynamics and their physical interactions with the environment. Low fidelity ML
-
translational biomarker development will be especially welcomed. Secure peer-reviewed competitive funding for research projects. Achieve an optimal standard of academic contribution by publishing research
-
optimizing CO2 operating conditions to avoid ice crystal formation, you will achieve optimal cooling and machining performance of novel materials such as fibre CFRP and metallic stacks. What you’ll do You’ll
-
Process-aware optimal design of polymer Additive Manufactured (3D Printed) components via hybrid layout and topology optimisation
-
Nonlinear System Analysis Using Convex Optimization
-
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
-
. • 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
-
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
-
boiling models have potential for impact well-beyond the nuclear sector, by optimizing heat transfer processes across numerous industries and low-carbon technologies. In this project, you will focus
-
, 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