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Modelling, Estimation and Control of Networked Complex Systems
Hardcover
Series: Understanding Complex Systems
Technology & EngineeringGeneral Mathematics
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ISBN10: 3642031986
ISBN13: 9783642031984
Publisher: Springer
Published: Sep 2 2009
Pages: 238
Weight: 1.18
Height: 0.63 Width: 6.14 Depth: 9.21
Language: English
ISBN13: 9783642031984
Publisher: Springer
Published: Sep 2 2009
Pages: 238
Weight: 1.18
Height: 0.63 Width: 6.14 Depth: 9.21
Language: English
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 resolution.
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