Control Systems Lab
The Control Systems Laboratory provides novel solutions to traditional control problems. Our work focuses upon three application areas: intelligent autonomous vehicles, industrial automation and flight control. Common strands cross-link these themes: multi-agent systems, machine vision, bio-inspiration, novel hardware demonstrators and complexity. The sources of inspiration for our ideas are very diverse: from algebras to auctions, from 747s to sigma-point information filters and from wasps to wavelets.
Recent and on-going work includes: intelligent autonomous control of a spaceplane; object oriented modelling of a complex hybrid rocket/jet engine; helicopter flight control; controller evolution using Cartesian Genetic Programming; intelligent decentralised data fusion using agents; agent-based support for flight trials management; fault tolerance through agency; confectionary inspection at high speed using machine vision; web flatness monitoring using machine vision; agent-based machine vision; hardware-based, agent-based control.
 Bio-Inspired Control Engineering |
 Control and Instrumentation |
 Multi-Agent Systems |