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Data-Drive Control of Complex Networks and Networked Systems

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This project will develop data-driven tools and techniques to control complex networks and interconnected systems where precise modelling of the dynamics, and their interconnection becomes challenging. This problem will be studied in the context of robotics, autonomous and multi-agent systems, power distribution and other complex networks.

Award
MRes | MPhil | PhD | MSc by Research
Start Date
Usually February and October - at individual School's discretion

Summary

The focus of this research is on data-driven control of complex networks and networked systems. Networks and multiagent systems have been researched in the context of formation control, consensus algorithms, coordination etc which have various application for robotic and autonomous systems, power grid, sensor and communication networks etc. The ability to manipulate and regulate complex network of interconnected systems requires efficient and robust control algorithms, understanding and availability of tractable model of the systems and network dynamics. Modelling of interaction between potentially unknown heterogeneous systems in a network is a challenge and developing accurate models of large networks through first principles or through system identification will often have modelling errors leading to poor control solutions.  In this research direct or indirect data-driven control techniques will be explored fundamentally and in an applied approach to develop optimal solutions for control of complex interconnected and networked systems. Applications of the proposed tools and techniques could be studied through various problems such as cooperative control of robotic swarms of aerial, ground and manipulators systems, optimal power flow in power grids, control of homogeneous and heterogeneous multi-agent systems including sensor and communication networks.

Supervisors

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Research Themes

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About our Research Degrees

We welcome specific ideas from applicants for a potential research degree topic. The University offers a number of potential self-funded topics in each School which you could consider developing your research project around.

It is not unusual for a proposed research degree topic to evolve as you progress through the application stage and even your future studies. This ensures the best match of your academic/professional experience with that of your supervisory team.   

Occasionally, the University will also advertise available funded studentships, for very specific topics or subjects:

If you need any further support prior to applying, please email researchdegrees@rgu.ac.uk

 

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