Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
Advanced Wind Turbine Control Systems School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Prof Mohamed Pourkashanian, Prof Lin Ma, Prof Derek Ingham Application
-
Expert control systems for AD systems School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Prof Mohamed Pourkashanian, Prof W Nimmo, Prof Lin Ma Application
-
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
-
Particle size distribution in flue gases for carbon capture School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Prof Mohamed Pourkashanian, Prof Lin Ma, Dr Kevin
-
Future electrical power generation system integration and control School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Prof Mohamed Pourkashanian, Prof Lin Ma, Dr
-
optimal control in addressing these challenges. At the sub-system level, there is an increasing need to develop methods that would allow efficient management of different energy sources. Then at
-
Christopher Webster, Prof Mimoun Azzouz Application Deadline: 15 August 2025 Details A repeat expansion in the first intron of C9orf72 is the most common genetic cause of amyotrophic lateral sclerosis (ALS
-
Digital Twin Control of Manufacturing Operations School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr Rob Ward Application Deadline: Applications accepted all year
-
. FES is a technique which stimulates intact peripheral nerves to generate muscle contractions. This is a collaborative project between department of automatic control and systems engineering and medical
-
research is the development of technologies for soft robots, for instance control of artificial muscle actuators. These actuators will likely be important for future intrinsically safe, compliant robots