Abstract: The identification of nonlinear systems is a challenging problem. Physical knowledge of a system can be used in the identification process to significantly improve the predictive performance ...

Abstract: Nonlinear dynamics are inherent in a wide range of industrial processes and mechatronic systems, where impulsive noise—arising from sensor faults, switching transients, or electromagnetic ...

This repository contains the source code used to produce the results obtained in A Fully Probabilistic Tensor Network for Regularized Volterra System Identification submitted to International ...

I'm interested in the vibration of nonlinear mechanical systems, which don’t have the useful properties associated with linear systems due to their high flexibility, large vibration amplitudes or ...

The Complex Systems and Signal Processing research group is internationally leading in the development of techniques and algorithms for complex systems analysis, control and signal processing and the ...