Modelling, Estimation and Control of Networked Complex Systems

Author:   Alessandro Chiuso ,  Luigi Fortuna ,  Mattia Frasca ,  Alessandro Rizzo
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Edition:   2009 ed.
ISBN:  

9783642260179


Pages:   238
Publication Date:   14 March 2012
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Modelling, Estimation and Control of Networked Complex Systems


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Overview

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.

Full Product Details

Author:   Alessandro Chiuso ,  Luigi Fortuna ,  Mattia Frasca ,  Alessandro Rizzo
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   2009 ed.
Dimensions:   Width: 15.50cm , Height: 1.30cm , Length: 23.50cm
Weight:   0.454kg
ISBN:  

9783642260179


ISBN 10:   3642260179
Pages:   238
Publication Date:   14 March 2012
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Collective Phenomena.- Synchronization in Networks of Mobile Agents.- Decentralized Adaptive Control for Synchronization and Consensus of Complex Networks.- Dealing with Uncertainty in Consensus Protocols.- Formation Control over Delayed Communication Network.- Social Phenomena.- Remarks on Epidemic Spreading in Scale-Free Networks.- Complex Networks and Critical Infrastructures.- Sensor Networks.- Distributed Maximum Likelihood Estimation over Unreliable Sensor Networks.- Optimal Sensor Scheduling for Remote Estimation over Wireless Sensor Networks.- Growing Fully Distributed Robust Topologies in a Sensor Network.- System Science.- Topological Properties in Identification and Modeling Techniques.- Network Abstract Linear Programming with Application to Cooperative Target Localization.- On the Effect of Packet Acknowledgment on the Stability and Performance of Networked Control Systems.- State Estimation in a Sensor Network under Bandwidth Constraints.- Admission Control in Variable Capacity Communication Networks.

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)


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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