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control PhD Projects, Programmes & Scholarships

We have 795 control PhD Projects, Programmes & Scholarships

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We have 795 control PhD Projects, Programmes & Scholarships

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Model of Energy Demand and Carbon Reduction for Control of Energy Storage

The techniques of Control Theory, Artificial Intelligence and Statistical Data Analysis have been applied to engineering systems with great success, and the resulting is better energy efficiency using storage. Read more

Motion Planning in Autonomous Robots

The project will focus primarily on Autonomous Robots. The general research theme involves theoretical and experimental study of Autonomous Vehicles with emphasis on advanced motion control for unmanned vehicles. Read more

Control of Large Scale Robotics System for Fusion Remote Maintenance

RACE (Remote Applications in Challenging Environments,. http://www.race.ukaea.uk/. ) was founded in 2014 as part of the UK Atomic Energy Authority (UKAEA) fusion research and development programme - to create robots for operating in some of the most challenging environments imaginable. Read more

Novel anti-pathogen regulatory mechanisms driven by Human Guanylate Binding Proteins

Human GBPs are a family of seven ~65kDa GTPases whose expression is upregulated by IFNg, for example during an infection. All mammalian GBPs contain a GTPase domain and a C-terminal helical region. Read more

Bio-inspired sensing and control for aerial vehicles PhD or MSc by Research

It is well known that birds, bats, insects and fishes can sense environmental flows to perform agile and robust motion. They are also using information about external flows to harvest energy from the environment. Read more

Model Predictive Control for Autonomous Vehicles and Robots [Self-Funded Students Only]

  Research Group: Visual Computing
Model predictive control (MPC) is a family of modern control methods that have demonstrated impressive performance in a variety of scenarios, including in robotics and autonomous vehicle control. Such methods rely on models that can predict a system's future behaviour in response to control inputs in order to find the optimal actions that drive the system to a desired state. Read more

Predictive and optimization-based control of smart grids: theory and algorithms

Model predictive control (MPC) has long been identified as a leading candidate technique for control in future power networks and smart grids, because of its ability to handle constraints and optimize the performance or economy of the system. Read more

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