Predictive control requires the online solution of an optimisation problem which carries both a large online computation as well as the overhead of substantial code. This is an obstacle to applications on smaller and faster systems where perhaps embedded control may be a better option. The most common tool for constraint handling is model predictive control (MPC); these deploy a quadratic programming optimisation on line which limits the use to slow systems. Algorithms dealing with uncertainty and/or nonlinearity require even more burdensome computations. The aim of this project is to look at ways of modifying MPC to allow constraint handling well at the same stage using simple optimisers and hence to overcome the limitation to slow processes and open access to fast systems. There is a desire that any developments be easily extended to cope with both multivariable problems and uncertainty/non-linearity. Some effort should also be directed towards transparency in order to optimise ease of use. A secondary aim is to investigate the potential for embedding these control strategies. The start point of the research could be multi parametric quadratic programming, a recently developed innovation in quadratic programming which parameterises all the possible solutions to a quadratic program. Secondly one should incorporate recent insights into the structure of MPC to optimise efficiency. It is expected that use will be made of recent research results on invariant sets and the closed-loop paradigm. Suitable students should have a good engineering background.
This is a self-funded research project.
We require applicants to have either an undergraduate honours degree (2:1) or MSc (Merit or Distinction) in a relevant engineering subject from a reputable institution.
Full details of how to apply can be found at the following link: View Website
Applicants can apply for a Scholarship from the University of Sheffield but should note that competition for these Scholarships is highly competitive: View Website
Insert previous message below for editing?
You haven’t included a message. Providing a specific message means universities will take your enquiry more seriously and helps them provide the information you need. Why not add a message here
The information you submit to University of Sheffield will only be used by them or their data partners to deal with your enquiry, according to their privacy notice. For more information on how we use and store your data, please read our privacy statement.
* required field
Send a copy to me for my own records.
Your enquiry has been emailed successfully
Based on your current searches we recommend the following search filters.