Modelling, Estimation and Control of Networked Complex Systems. 1st ed. 2009

種類:

電子ブック

責任表示:

edited by Alessandro Chiuso, Luigi Fortuna, Mattia Frasca, Alessandro Rizzo, Luca Schenato, Sandro Zampieri

出版情報:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2009

著者名:

Chiuso, Alessandro.

Fortuna, Luigi.

Frasca, Mattia.

Rizzo, Alessandro.

Schenato, Luca.

Zampieri, Sandro.

SpringerLink (Online service)

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シリーズ名:

Understanding Complex Systems ;

ISBN:

9783642031991 [3642031994]    

注記:

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
The paradigm of complexity is pervading both science and engineering, leading to the emergence of novel approaches oriented at the development of a systemic view of the phenomena under study; the definition of powerful tools for modelling, estimation, and control; and the cross-fertilization of different disciplines and approaches. This book is devoted to networked systems which are one of the most promising paradigms of complexity. It is demonstrated that complex, dynamical networks are powerful tools to model, estimate, and control many interesting phenomena, like agent coordination, synchronization, social and economics events, networks of critical infrastructures, resources allocation, information processing, or control over communication networks. Moreover, it is shown how the recent technological advances in wireless communication and decreasing in cost and size of electronic devices are promoting the appearance of large inexpensive interconnected systems, each with computational, sensing and mobile cap

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