FindAPhD Weekly PhD Newsletter | JOIN NOW FindAPhD Weekly PhD Newsletter | JOIN NOW

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

We have 69 University of Sheffield, Department of Automatic Control and Systems Engineering PhD Projects, Programmes & Scholarships

Discipline

Discipline

All disciplines

Location

Location

All locations

Institution

Institution

Department of Automatic Control and Systems Engineering  University of Sheffield

PhD Type

PhD Type

All PhD Types

Funding

Funding

All Funding


We have 69 University of Sheffield, Department of Automatic Control and Systems Engineering PhD Projects, Programmes & Scholarships

PhD saved successfully

Robustness and Reliability Analysis of Distributed Wireless Sensor Network

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

Building connections between model predictive control and neural networks

Feedback control enables dynamical systems to interact autonomously and safely with the real-world. The classical approach to feedback control system design involves first identifying a model of the system and then solving an optimal control problem to generate a control policy. Read more

Delay-induced stabilisation of dynamical systems

Time delays are often the source of system instability. There are many examples of nonlinear or distributed parameter systems where an arbitrarily small input or output delay destabilises the system. Read more

Artificial Intelligence and Machine Learning for Manufacturing

Manufacturing processes potentially generate a lot of data during the manufacture of a product. In most plants, data is either not collected or if collected, there is lack of knowledge on how to derive insights from the data collected. Read more

Autonomous swarms inspired by real world applications

Swarm algorithms offer a number of promises in the form of multiple agents working together to achieve a task, robustness against disturbances and multiple sensing agents to digitise the environment to mention a few. Read more

Filtering Results