Adam Mills


Some of the current projects in conjunction with the SPM group.

Algorithms to ASICs

These projects are focussed on providing software solutions to assist the mapping of algorithmic solutions to actual implementations in hardware devices. This includes bit accurate modelling of numerical systems in limited precision, analysis of those simulations, and generation of test data for verification with hardware implementations in ASICs and FPGAs.


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.


SBAM - SPM Bit Accurate Modelling

SBAM is a series of libraries that enable high level algorithms to be easily simulated in various reduced precision number formats. Support is provided to enable porting of Matlab and IT++ simulations with minimal changes to code.

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.

Additionally, some new approaches are included. These include the support for bilinear and other Hammerstein-Wiener non-linear structures, and the use of the expectation-maximisation (EM) algorithm for time and frequency domain estimation of state space structures.

Maintained by Adam Mills
University of Newcastle
8 Dec 2005, © Copyright