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We have 371 control systems PhD Projects, Programmes & Scholarships

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control systems PhD Projects, Programmes & Scholarships

We have 371 control systems PhD Projects, Programmes & Scholarships

Projects in mathematical systems and control theory

Mathematical systems and control theory “represents an attempt to codify, in mathematical terms, the principles and techniques used in the analysis and design of control systems” [1]. Read more

Adversarial Learning for Industrial Control Systems

Cyber-attacks are increasingly posing more and more threat to information assets and computer systems in general. This is particularly so in industrial control systems which refer to a generalized group of automation systems employed in controlling and keeping track of industrial and manufacturing facilities [1]. Read more

Expert control systems for AD systems

AD is non-linear process which is notoriously difficult to control automatically and therefore has in the past relied on expert operators to maintain the performance and stability of AD sites. Read more

Advanced Wind Turbine Control Systems

Wind turbine control is necessary to ensure low maintenance costs and efficient performance. The control system also guarantees safe operation, optimizes power output, and ensures long structural life. Read more

Control of Nonlinear Engineering Systems

These projects are open to students worldwide, but have no funding attached. Therefore, the successful applicant will be expected to fund tuition fees at the relevant level (home or international) and any applicable additional research costs. Read more

Novel stochastic control method for a class of complex networks

Complex systems, which contain large ensembles of elements interacting with each other and are affected by noises and uncertainties, have become one of the major research fields due to their presence in the real life. Read more

Learning for Control: Enabling Efficient Networked Autonomous Systems

Supervisory Team: Konstantinos Gatsis . Project description. There is an ongoing transformation in engineering autonomous systems that aim to achieve complex objectives with limited human intervention in applications such as robotics, self-driving cars, and industrial systems. Read more

Bio-Inspired Models and Biologically Plausible Mechanisms for Long-Term Motion Learning

Biological systems can learn from interactions with their environment throughout their lifetime. Learning is a defining ability of biological systems, whereby experience leads to behavioral adaptations that improve performance. 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

Generative AI for the Next Generation of Manufacturing Automation Systems PhD

The application of emerging technologies such as artificial intelligence, digital twin, blockchain, and the internet of things are growing fast, and their integration with complex manufacturing systems enables effective digitalisation and automation transition. Read more

Advanced control of inverter-based resources to realize stable smart grids

Summary. The smart grid concept is paving the way towards efficient, reliable, and sustainable power systems. Inverter-based resources are among the most crucial components of the smart grid, interfacing renewable energy sources, storage devices, and electronic loads. Read more

Health-Aware Energy Management for Fuel Cell Electric Vehicles

We are pleased to announce an exciting opportunity for a motivated and highly qualified individual to pursue a Ph.D. in the field of Health-Aware Energy Management for Fuel Cell Electric Vehicles (FCEVs). 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

Agent-based cyber-physical production systems for Industry 4.0

  Research Group: Applied Computing
This project aims to develop novel methods and software tools for the implementation of highly adaptive multi-agent systems for manufacturing control, applying plug-and-produce technology to cyber-physical systems. Read more

Dynamic modelling and model based control of Compliant Hybrid Robots

  Research Group: Intelligent Systems and Robotics
Recent trends and the evolution of robots suggest a greater integration of automated robots into everyday life. These robots are expected to serve various roles, including service robots, healthcare assistants, inspection robots, and more. Read more

Control of renewable energy / mechatronic / robotic systems

These projects are open to students worldwide, but have no funding attached. Therefore, the successful applicant will be expected to fund tuition fees at the relevant level (home or international) and any applicable additional research costs. Read more

EPSRC CDT in Machine Learning Systems

Machine Learning has a dramatic impact on our daily lives built on the back of improved computer systems. Systems research and ML research are symbiotic. Read more

Fully Funded PhD opportunities in Physical Sciences

Physical Sciences are included in Doctoral School at Gdańsk University of Technology, Poland, which is regarded to be the first research university in Poland among universities of technology according to domestic rankings. Read more

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