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Analysis and control of hybrid dynamical systems: an insight into switched control systems

  • Full or part time
  • Application Deadline
    Applications accepted all year round
  • Competition Funded PhD Project (European/UK Students Only)
    Competition Funded PhD Project (European/UK Students Only)

Project Description

Hybrid dynamical systems have emerged as a novel framework with potential for improving the performance and capabilities of a wide variety of engineering systems. In addition, from the theoretical viewpoint, they provide alternative ways of interpreting and solving the abstraction, specification, verification and design of complex control systems. Generally speaking, hybrid systems are dynamical systems consisting of continuous-type dynamics and discrete-event dynamics. They merge formal computational tools, dynamical systems theory and control engineering methodologies. Consequently, this framework gives rise to models, behaviour analysis tools, stability definitions, control schemes, numerical analysis methods and algorithms for simulation which are novel, and entail a better formulation of the system interaction with the environment.

The goal of this PhD project is to formulate dynamical and control-related properties within the hybrid-systems framework. In particular, the study of complex dynamical phenomena of electromechanical systems with friction and impacts will be carried out. Switched or discontinuous control-type schemes will be explored in order to get system desired behaviour and good performance. These control algorithms will be reinterpreted within the hybrid- systems framework.

Funding Notes

This research project is one of a number of projects at this institution. It is in competition for funding with one or more of these projects. Usually the project which receives the best applicant will be awarded the funding. The funding is available to citizens of a number of European countries (including the UK). In most cases this will include all EU nationals. However full funding may not be available to all applicants and you should read the full department and project details for further information.

References

Supervisor's Webpage http://staff.cs.manchester.ac.uk/~navarroe/

How good is research at University of Manchester in Computer Science and Informatics?

FTE Category A staff submitted: 44.86

Research output data provided by the Research Excellence Framework (REF)

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