Dr Guang Li
Research Group News
A team from Queen Mary has been awarded funding to develop technology to capture energy from waves at sea. Wave Energy Scotland (WES) will grant £461,345 to the team from the School of Engineering and Materials Science to develop an adaptive hierarchical model predictive control framework for wave energy converters (WECs). ... [more]
Marie-Curie Individual Fellowship (Euro 225K) is awarded on the project "Hierarchical optimal energy management of electric vehicles". It has been widely recognized that vehicle electrification provides a potential way for the EU to move towards a more decarbonized transport system and sustainable circular economy. The overarching objective of this project ... [more]
Siyuan Zhan passed his PhD viva successfully on the 22nd of Nov, 2018. His PhD thesis is "Robust Economic Model Predictive Control for Energy Maximisation Control Problems". Prof John Ringwood from National University of Ireland Maynooth and Prof Xi Jiang were the external and internal examiners respectively. The viva started from 9:30... [more]
Dr Guang Li’s wave energy converter control project proposal has been selected by Wave Energy Scotland as one of 3 projects that will receive funding to be developed further. The 3 successful projects were elected among 13 projects. The project aims to develop reliable and efficient control strategies to improve the wave ... [more]
We have been awarded Stage-2 research project on Wave Energy Converter Control Systems, which is selected as one of the 3 projects among 13 Stage-1 projects by Wave Energy Scotland. The total award is £151,304 and will run for the next 9 months. [more]
Steffi Krause, Pihua Wen & Guang Li are the latest three staff in SEMS to have completed the ADEPT application. This means that all three have also now been awarded their Fellowships of the Higher Education Academy and can now use the designation FHEA after their names. Congratulations to all three ... [more]
1) A 3-year postdoctoral research position is available now:
The postdoctoral researcher will work on an EPSRC funded project on Control of Launch and Recovery in Enhanced Sea-States. Important examples of these operations are the launch and recovery from a mother-ship of small craft, manned and unmanned air vehicles and submersibles. The proposed work is closely coupled to two already funded EPSRC projects under the Launch and Recovery Co-Creation Initiative. This EPSRC funded post is available from 1 July 2017 for 3 years. The successful applicant will be responsible for delivering new fundamental operations and control research and providing the basis for the creation of a real-time decision support system for vessel operators responsible for Launch and Recovery at sea.
The practical driver is to extend the range of sea-states in which existing wave limited maritime operations can be safely carried out. Important examples of these operations are launch and recovery (L&R) from a mother-ship of small craft, manned and unmanned air vehicles and submersibles. Currently many marine operations, such as L&R of small craft, manned and unmanned air vehicles and submersibles from a mother ship, can only be attempted in sufficiently calm sea-states. Although the underlying principles will be relevant for all these operations, this proposal will focus on the recovery of a manned rigid inflatable boat (RIB). In this project the research aim is to develop a novel approach to predicting a suitable time instant at which to initiate a L&R operation, together with a confidence measure (provided as advice to a human operator), and then to control the execution of the subsequent lift operation once initiated using a form of Model Predictive Control (MPC).
The successful applicant will possess a relevant PhD or equivalent qualification/experience in a related field of study and will have recognised expertise in the areas of system modelling and control and possess in-depth understanding of this specialism to enable the development of new knowledge and understanding within the field. Applicants will possess proven expertise in the areas of systems modelling and control and highly developed skills in Matlab & Simulink. The successful applicant will 1) develop fast MPC for the L&R process, 2) conduct stability analysis with preview information and varying constraints, 3) conduct co-design to integrate system parameter selection into controller design.
For informal enquiries, please contact Dr Guang Li, email: email@example.com
2) A CSC studentship for one Chinese student is available now:
A CSC studentship for one Chinese student is available in Control Systems at School of Engineering and Material Sciences (SEMS), Queen Mary, University of London.
A CSC studentship is available in control systems design. The topic is "Constrained optimal control and design of engineering systems". This project will focus on the optimal combined designs of controller and plant to reduce the cost reduction and performance improvement of the resulting system. The potential applications will be in the promising areas such as renewable energy, and aerospace engineering.
- SEMS provides a full tuition fee scholarship for up to three years;
- Living allowance as prescribed by the Chinese Government is paid to candidate for up to four years;
Please note that the tuition fee scholarship will be provided by SEMS, Queen Mary University of London, while the other listed benefits will be provided by the China Scholarship Council.
About the university:
- Among top 100 universities in the world ranking,
- 11th in the UK in last Research Assessment Exercise (Guardian)
- 8th in the UK for highest graduate starting salaries (The Sunday Times)
- 6 Nobel Prize winners
The applicant needs to be:
- A top Master or undergraduate student (top 5%) in control systems and automation.
- English minimum requirement: IELTS 6.5 or equivalent English tests.
- Preferably from a top Chinese university (211 and 985).
- Preferably with some decent publications.
If you are interested in this studentship, please contact Dr Guang Li as soon as possible by email: firstname.lastname@example.org.