The objective of the project is to incorporate new capabilities into MPC controllers:
a) Improving economic performance without sacrificing traditional control performance.
b) Improved transitions between operating regions, simultaneously minimising off-s pec production and maximising learning derived from the strong excitations involved.
c) Including adaptation and learning, to make advanced constrained control applicable to highly uncertaint control problems or problems which change with time (e.g. crane operations with variable load in confined spaces).
All these objectives involve significant research challenges, where issues related to performance (economic and control-related), stability and computational complexity need to be addressed.
The projec t will train two PhD candidates. The results will be disseminated both nationally and internationally at conferences and in scientific journals.