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We have 42 University of Sheffield, Department of Automatic Control and Systems Engineering PhD Projects, Programmes & Scholarships

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Department of Automatic Control and Systems Engineering  University of Sheffield

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University of Sheffield, Department of Automatic Control and Systems Engineering PhD Projects, Programmes & Scholarships

We have 42 University of Sheffield, Department of Automatic Control and Systems Engineering PhD Projects, Programmes & Scholarships

Multimodal Control of Prosthetic Limbs/Paralysed Muscles

This project aims to enhance the quality of life of patients with amputees, spinal cord injury, stroke and brain injury by developing advanced control strategies for artificial limbs. Read more
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Developing digital twin and digital product passports for high-value electric machines to support their end-of-life decisions

In support of the research activities of the EPRSC-funded Future Electrical Machines Manufacturing Hub, the University of Sheffield is offering a funded PhD scholarship to undertake research in the development of digital twin and digital product passports for high-value electric machines to support their end-of-life decisions. Read more

Trust in Distributed Surveillance Systems

Are you interested in Machine Learning and Signal Processing methods and their applications to autonomous systems and surveillance? We have a PhD project funded by the UK Government Defence Science and Technology Laboratory (DSTL) at the University of Sheffield, a leading World University and a Russell Group University in the UK. Read more

Distributed Algorithm Wireless Sensor Networks

Wireless sensor network (WSN) is a group of a spatially distributed and dedicated sensors communicating via a wireless medium and cooperatively monitoring the physical conditions of the environment such as temperature, sound, speed, pressure, humidity, etc. Read more

Control Theory for Security-Sensitive and Safety-Critical Networked Feedback System

In a world rapidly adopting intelligent systems, ensuring the safety of critical control systems has become paramount. From self-driving cars, surgical robots to high-precision temperature control of warehouses, any breach of safety constraints in these systems may lead to catastrophic consequences. Read more

Constrained control and set invariance

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. Read more

Advanced brain-computer interface

A brain-computer interface (BCI) provides a direct communication pathway between a human brain and an external device. Using appropriate sensors and data processing algorithms, a BCI maps patterns of brain activity associated with a volitional thought onto signals suitable for communication and control. Read more

Active Wearables for Efficient Living

There has been a surge in the use of wearables for sensing health indices such as blood pressure or body stress, to replace or augmenting physical capability [1-4]. Read more

Optimal Control of Dynamical Systems with Hysteresis

Hysteresis describes the phenomenon in which the value of a physical property lags behind changes in the effect causing it. Hysteresis loops arise in many engineering fields and pose interesting challenges to the control of the underlying systems. Read more

Nonlinear Model Predictive Control

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, allowing systematic and optimal handling of constraints, nonlinearities and uncertainties. Read more

Self-folding Origami ”Robots” for Cognitive Smart Materials

Background: . With the development of smart materials capable of sensing and changing states, the realisation of 'robots' that are paper-like materials but that can fold themselves up, start moving, and adapt to the situation while sensing their environment is becoming a reality. Read more

Automatic Object and Behaviour Recognition in Video/ Image Sequences

Smart CCTV systems have been subject on an increased interest during the last decades. There are many reasons for this interest, such as the need of processing quickly, in an automatic way huge amounts of video data. Read more

Application of predictive control to fast systems

Predictive control is relatively unwieldy and therefore does not lend itself to applications requiring fast sample rates. However many recent developments have looked at how the algorithm can be implemented both more efficiently in time and with relatively simple coding requirements. Read more

Using Brain Computer Interface to Improve Cognitive Performance

Electroencephalogram (EEG) is a non-invasive technique commonly used to measure brain activity. In this project, we aim at using EEG Biofeedback (brain-computer interface (BCI)) for improving cognitive performance (e.g. Read more

Sequential Monte Carlo Methods for Bayesian Inference in Complex Systems

This project will focus on the development of Bayesian inference methods such as sequential Markov Chain Monte Carlo (MCMC) methods for filtering and smoothing of states and parameters of complex nonlinear systems. 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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