Biography: Yuzhu Guo is an associated professor in the School of Automation Science and Electrical Engineering, Beihang University, China and researcher in the Centre for Signal Processing and Complex Systems and the Insigneo Institute for in sillico Medicine, University of Sheffield, UK. He received a BSc and MSc degrees from the Beijing Institute of Technology, Beijing, China. He received a doctoral degree in automatic control and systems engineering from the University of Sheffield, UK, in 2009. His research interests include system identification and information processing for nonlinear systems, narmax methods, nonlinear spectral analysis, spatio-temporal systems, multi-scale modelling of neuro-musculo-skeletal systems and bioinformatics.
Speech Title: NARMAX Methods in Modelling of Nonlinear Complex Systems
Abstract: NARMAX method has been widely used in the system identification of nonlinear systems in a broad range of disciplines since it was proposed in 1980s. In this speech, the main idea of the NARMAX model and the associated orthogonal forward regression algorithm will briefly be reviewed. The challenges in modelling of nonlinear complex systems are discussed and solutions under the NARMAX framework will given, including identification of non-persistently excited systems, proxy measure of unobservable variables, surrogate modelling of computationally intensive processes, modelling and analysis of time-varying signals, and so on.