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The paradigm of complexity is pervading both science and
engineering, le- ing to the emergence of novel approaches oriented
at the development of a systemic view of the phenomena under study;
the de?nition of powerful tools for modelling, estimation, and
control; and the cross-fertilization of di?erent disciplines and
approaches. One of the most promising paradigms to cope with
complexity is that of networked systems. Complex, dynamical
networks are powerful tools to model, estimate, and control many
interesting phenomena, like agent coordination, synch- nization,
social and economics events, networks of critical infrastructures,
resourcesallocation, informationprocessing,
controlovercommunicationn- works, etc. Advances in this ?eld are
highlighting approaches that are more and more
oftenbasedondynamicalandtime-varyingnetworks,
i.e.networksconsisting of dynamical nodes with links that can
change over time. Moreover, recent technological advances in
wireless communication and decreasing cost and size of electronic
devices are promoting the appearance of large inexpensive
interconnected systems, each with computational, sensing and mobile
ca- bilities. This is fostering the development of many engineering
applications, which exploit the availability of these systems of
systems to monitor and control very large-scale phenomena with ?ne
resoluti
The paradigm of complexity is pervading both science and
engineering, le- ing to the emergence of novel approaches oriented
at the development of a systemic view of the phenomena under study;
the de?nition of powerful tools for modelling, estimation, and
control; and the cross-fertilization of di?erent disciplines and
approaches. One of the most promising paradigms to cope with
complexity is that of networked systems. Complex, dynamical
networks are powerful tools to model, estimate, and control many
interesting phenomena, like agent coordination, synch- nization,
social and economics events, networks of critical infrastructures,
resourcesallocation, informationprocessing,
controlovercommunicationn- works, etc. Advances in this ?eld are
highlighting approaches that are more and more
oftenbasedondynamicalandtime-varyingnetworks,
i.e.networksconsisting of dynamical nodes with links that can
change over time. Moreover, recent technological advances in
wireless communication and decreasing cost and size of electronic
devices are promoting the appearance of large inexpensive
interconnected systems, each with computational, sensing and mobile
ca- bilities. This is fostering the development of many engineering
applications, which exploit the availability of these systems of
systems to monitor and control very large-scale phenomena with ?ne
resoluti
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