Abstract
We present an extended framework and software tools for the analysis of the non-linear dynamical (chaotic) processes in networks of identical systems and in hybrid networks. The systems are characterized by several external and internal parameters, and the evolution of the dynamics in the multidimensional space of the parameters is investigated. Extensions of the bifurcation diagram are introduced as theoretical tools, and related software tools to analyze the patterns in the parametric space are presented. Based on this analysis, the development of a new class of sensors, relaying on chaotic processes, with capabilities of data fusing and pattern recognition is presented. Several applications are discussed. Experimental results with circuits implementing several applications are also presented and discussed
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