Intelligent Systems & Control
The Intelligent Systems and Control research group has been recently established to develop and apply engineering metaphors to advance the modelling, analysis and control of intelligent, complex and biological systems. Current research projects that concentrate on fundamental issues include multi-agent learning and control, computational models of neural mechanisms, nonlinear systems consisting of symbolic dynamics and optimization and topology design of neural networks. In collaboration with industrial partners, the theoretical research of the group is translated in diverse applications spanning autonomous robotic vehicles, biologically inspired engineering systems, mobile sensing networks and nonlinear circuits. The ISaC group enjoys collaboration with leading industrial and academic partners and receives support from both research councils and industry.