Modelling, Estimation and Control of Networked Complex Systems

Buch | Hardcover
XVI, 238 Seiten
2009 | 2009
Springer Berlin (Verlag)
978-3-642-03198-4 (ISBN)
160,49 inkl. MwSt
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.

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.

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)

Erscheint lt. Verlag 2.9.2009
Reihe/Serie Understanding Complex Systems
Zusatzinfo XVI, 238 p.
Verlagsort Berlin
Sprache englisch
Maße 155 x 235 mm
Gewicht 518 g
Themenwelt Technik Maschinenbau
Schlagworte Communication • Complexity • complex networks • Complex Systems • Dynamical Systems • Dynamisches System • Dynamische Systeme • Information • Komplexe Systeme • linear optimization • Model • Modeling • Networked Complex Systems • Netzwerke • Nichtlineares System • Nichtlineare Systeme • Nonlinear Dynamics • programming • stability • Topologie • wireless sensor networks
ISBN-10 3-642-03198-6 / 3642031986
ISBN-13 978-3-642-03198-4 / 9783642031984
Zustand Neuware
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