Systems, systems-of-systems and sub-systems are ubiquitous in both the natural and the engineered worlds. The design and control of system behaviour is therefore a chief challenge where people, technology and the environment interact. In order to address the emergent behaviour of multiple systems, the functional and non-functional interactions between subsystems and their environment must be analysed and understood, which involves modelling of the system, identification of system’s structure and estimation of parameters from measurements. Together, the members of this group aim to develop techniques and computer tools for modelling, analysing, predicting and controlling the behaviour of dynamic, multi-domain physical, and other, systems.
Identification of complex engineering systems
Mathematical models of physical processes invariably include unknown parameters, which need
to be estimated from real data. We have longstanding research interest in field of identifiability analysis, development and application of identification techniques for system’s inference.
System of systems in applications to automotive vehicles
A major field of research concerns the application of systems engineering approaches in the design, development and validation of systems within automotive vehicles.
Modelling and control of complex systems
This includes coupled infinite-dimensional systems, systems with chaotic behaviour, systems in noisy stochastic environment, large biomolecular systems and fluid-structure interactions with application to vibration suppression, energy harvesting, transport in electronic nanostructures, permeation and selectivity in ion channels, interactions between wind turbines and power grid, stochastic effects in neuronal systems and an optimal energy minimal control problem.
|The Systems Modelling and Control group is part of the Systems and Information Stream|
Primary group members:
Dr Igor Khovanov (Leader)