Bilinear effect in complex systems

Requirements Engineering Model in Designing Complex Systems

This research tends to development of the requirements elicitation methodology with regard to operational nature and hierarchical analysis for complex systems and also, regarding available technologies. This methodology applies Analytic Hierarchy Process (AHP) and Analytic Network Process (ANP) to ensure traceability of planned qualitative and quantitative data from requirements to available te...

Requirements Engineering Model in Designing Complex Systems

This research tends to development of the requirements elicitation methodology with regard to operational nature and hierarchical analysis for complex systems and also, regarding available technologies. This methodology applies Analytic Hierarchy Process (AHP) and Analytic Network Process (ANP) to ensure traceability of planned qualitative and quantitative data from requirements to available te...

Complex fuzzy linear systems

Bilinear dynamical systems.

In this paper, we propose the use of bilinear dynamical systems (BDS)s for model-based deconvolution of fMRI time-series. The importance of this work lies in being able to deconvolve haemodynamic time-series, in an informed way, to disclose the underlying neuronal activity. Being able to estimate neuronal responses in a particular brain region is fundamental for many models of functional integr...

Subspace Identiication of Bilinear Systems

In this paper, we describe subspace algorithms for the identiication of general bilinear MIMO systems. The results are a generalization of a previously presented paper that considered bilinear systems with white inputs 9]. They are also a direct extension of linear subspace iden-tiication. To illustrate the practical use of the method, it has been compared with linear subspace methods when appl...