Wednesday August 31 – 18.15-19.15 hrs – Room Franceschini
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Brett NinnessSchool of Electrical Engineering and Computer Science
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Computational System Identification
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Abstract:
The field of system identification is now a mature one that has evolved
over several decades. This has resulted in a suit of well studied and
accepted solution techniques. While very effective, these methods have
been developed with regard to computing resources that could be
considered very modest relative to those available today. This talk is
directed at some opportunties for taking advantage of modern advances
in computing resources for the solution of system identification
problems. These resources can be characterised as offering much
enhanced memory and multi-core capacity relative to what was available
during the development of the field. The talk will illustrate how
taking advantage of these advances can afford solutions to
identification problems that would have previously been considered
intractable.
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Brett Ninness biosketch:
Brett Ninness, BE (Hons I), ME, Ph.D (Univ. Newcastle,
Australia) is a Professor in the School of Electrical Engineering and
Computer Science at the University of Newcastle, Australia. His
research interests are in the areas of system identification and
stochastic signal processing. Over the last several years a particular
research interest has been the quantification of estimation errors
induced by measurement noise (variance error). More recently, he has
been focusing on developing new algorithms for robust and efficient
model estimation and evaluation of multivariable systems using the
Expectation-Maximisation (EM) algorithm and Markov Chain Monte Carlo
(MCMC) methods. He is the Editor in Chief for IET (formerly IEE)
Control Theory and Applications and serves on the editorial boards of
Automatica, IEEE Transactions on Automatic Control, and the
International Journal of Adaptive Control and Signal Processing. He was
an organising chair (together with Håkan Hjalmarsson and Iven
Mareels) for the 14th IFAC Symposium on System Identification, held in
Newcastle, Australia in late March 2006 and served as the Chair of the
IFAC Technical Committee on Modelling, Identification and Signal
Processing in 2005-2008. He is an Associate Fellow of the AIAA, a
Senior Member of the IEEE, and an Associate Editor for the Journal of
Guidance, Control and Dynamics.