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
• Variance Quantification
• Wiener Hammerstein Benchmark

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.

Sub-Projects

• c4Hardware - limited precision modelling in C++
• c4HDL - C++ for bit-accurate modelling of HDL