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Modelling, Estimation and Control of Networked Complex Systems - Understanding Complex Systems (Hardback)
  • Modelling, Estimation and Control of Networked Complex Systems - Understanding Complex Systems (Hardback)
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Modelling, Estimation and Control of Networked Complex Systems - Understanding Complex Systems (Hardback)

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£149.99
Hardback 238 Pages / Published: 02/09/2009
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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 resolution.

Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
ISBN: 9783642031984
Number of pages: 238
Weight: 1190 g
Dimensions: 235 x 155 x 15 mm
Edition: 2009 ed.


MEDIA REVIEWS

From the reviews:

"This collection of papers presents recent research on theory and applications related to systems engineering, information processing, and control over complex networks. Relevant readers include researchers, practicing engineers, and graduate students interested in nonlinear dynamics, complexity, and networked systems." (IEEE Control Systems Magazine, Vol. 30, June, 2010)

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