We are looking for a motivated candidate to pursue PhD / MSc by Research based on a project entitled 'Machine learning based approach for numerical analysis of nonlinear dynamics of unmanned systems'. Read moreRead less
Stability analysis of autonomous systems and designing controllers or policies to guarantee a target behaviour are of great importance in many domains, such as aerospace, autonomous driving and robotics. As opposed to Linear Time Invariant systems, whose stability can be analysed globally, most of the nonlinear systems usually achieve stability only in a specific region around some equilibrium point so called Region of Attraction (ROA). Knowledge of the stability region is essential in many applications since it enhance the efficiency of a controller design. For example, an autonomous swarm of drones will remain safe under more diverse and potentially harsh conditions. ROA is an important metric of the system robustness, showing how much the initial state can be disturbed away from the expected steady state that is usually the designed operation point in practice. Besides, an actual dynamical system can have multiple stable equilibrium points; so that one has to decide the ROA for a specific one.
However, finding the exact ROA for a nonlinear and complex system, such as aircraft, autonomous car or swarm of drones, both numerically and analytically might be impossible. The problem is complicated by an active use of nonlinear filters, adaptive and/or reinforcement learning control policies. There are several promising novel numerical approaches including machine learning-based ones that provides a route for stability analysis and control algorithm design of nonlinear systems.
This project aims at development of a numerical approach (e.g. machine learning based) for estimation of ROA and designing control algorithm providing desired behaviour under maximization of stability region of unmanned aerial systems. Recently developed methods of relaxations based on Sum of Squares and synthesis of formal Lyapunov Neural Networks for nonlinear systems and systems with reinforcement learning control policies could be one of the choices to leverage in the development of the approach.
The project envisages that the effectiveness will be validated for different applications and platforms, including nonlinear/adaptive/reinforcement learning control, multi-agent systems.
Cranfield is an exclusively postgraduate university that is a global leader for education and transformational research in technology and management.
Cranfield University has been ranked amongst the world’s top universities in the latest QS World University Rankings by Subject.
In the subject area ‘Engineering – Mechanical, Aeronautical and Manufacturing’ Cranfield has been ranked 27th in the world, climbing 18 places from last year’s ranking and attaining top scores in Employer and Academic Reputation.
This PhD will be hosted by the Centre for Autonomous and Cyber-Physical Systems. The Centre for Autonomous and Cyber-Physical Systems is one of the world’s largest centres of postgraduate education and research, with over 200 MSc and PhD students.
The Centre for Autonomous and Cyber-Physical Systems at Cranfield has a leading reputation in autonomous and space systems, established with over 15 years of research in this field. We cover all types of autonomous systems including airborne, ground and marine as well as autonomous space exploration.
We are renowned for being a leading European centre for postgraduate teaching and research in autonomous and cyber-physical systems with approximately 500 alumni members around the world working in the aerospace industry. Over the last two decades we have developed a significant body of research and its applications in autonomous systems.
Advanced Experimental Methods In Propulsion Aerodynamics Ph D , Cranfield University ;, United Kingdom, 25 days ago
Award type - PhD Start date - 05 Jun 2023 Duration of award - 3 years 1st Supervisor: Dr Pavlos Zachos 1st Supervisor: Professor David MacManus Applications are invited for fully funded PhD studen...
A Centre For The Study Of Global Development (Csgd) And Luminos Fund Co Funded Full Time Ph D Studentship , The Open University ;, United Kingdom, 25 days ago
The School of Education, Childhood, Youth and Sport, Faculty of Wellbeing, Education and Language Studies (WELS)invites applications for a 3-year full-time PhD studentship starting in October 2023...
Ph D Studentships In The Faculty Of Wellbeing, Education And Language Studies , The Open University ;, United Kingdom, 11 days ago
Based in Milton Keynes, UK The Faculty of Wellbeing, Education and Language Studies (WELS) is offering full-time funded PhD studentships for an October 2023 start. The PhD programme is located in ...
Phd Studentship In School Of Engineering And Innovation , The Open University ;, United Kingdom, 19 days ago
AVAILABLE FROM 1 OCTOBER 2023 Three full-time three-year PhD studentships are available, one in each area as follows: ENGINEERING, MATERIALS, ENERGY AND ELECTRONICS DESIGN AND THE BUILT ENVIRONMEN...
Ph D Studentship In Astrobiology Available From 1st October 2023 , The Open University ;, United Kingdom, 4 days ago
Full Time, 3 Year Studentship available from 1 October 2023 Closing Date : 22 February 2023 - 12:00 Noon AstrobiologyOU invites applications for the following project: How to Find Life on Mars: I...
Phd Studentships In It, System Sciences, And Software Engineering , The Open University ;, United Kingdom, 13 days ago
AVAILABLE FROM 1ST OCTOBER 2023 The School of Computing & Communications invites applications for full-time PhD studentships starting on 1st October 2023. Project proposals are sought in the foll...