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Details Invariant sets play an important and fundamental role in the design of control systems. An invariant set is a region of a dynamic system’s state space that has the following property: if the state
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tell us about the brain but also for helping us to understand what goes wrong in diseases where neurovascular coupling is altered. We will investigate which cells are involved in controlling brain blood
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clear that morphogenesis is often governed by a dynamic interplay between chemical (i.e. molecular) signalling and mechanical forces. However, this integrated control, known as mechanochemical signalling
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will be investigated in the light of real time traffic management and control systems. Funding Notes This is a self-funded research project. We require applicants to have either an undergraduate honours
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the opportunity to gain expertise in a range of associated themes including the design and customisation of integrated optical systems, materials processing, in-situ process monitoring and control
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and ensuring appropriate action is taken, reporting significant findings as appropriate to monitor activity and ensure that adequate precautions are taken in relation to new activities. Lead the
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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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Sequential Monte Carlo Methods for Bayesian Inference in Complex Systems School of Electrical and Electronic Engineering PhD Research Project Self Funded Prof Lyudmila Mihaylova Application Deadline
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Advanced Control Methods for Flexible Structures
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System Dynamics Modelling: Simulation and Analysis of Manufacturing Processes School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Dr J L Curiel Sosa Application