Model Predictive Control

This project is concerned with development of algorithms and hardware for high-speed model predictive control (MPC) solutions. Both linear and nonlinear MPC systems are considered.

QPC - Quadratic Programming in C

This project offers a collection of quadratic programming routines, which are written in C and callable from Matlab. These routines cover a range of problem structures from simply bounded strictly convex quadratic programmes to the more general case. Furthermore, a range of approaches are used including active-set, interior-point and a branch and bound approach.

System Identification Toolbox

This toolbox is a MATLAB-based software package for the estimation of dynamic systems. A wide range of standard estimation approaches are supported. These include the use of non-parametric, subspace-based and prediction-error algorithms coupled (in the latter case) with either MIMO state space or MISO polynomial model structures.

System Identification

Theoretical and empirical study of various problems in system identification. Particular attention is paid to robust estimation of Multivariable and Nonlinear systems, and to error quantification.

Sub-Projects

• MCMC System Identification
• System Identification Toolbox