Modelling, Estimation and Control of Networked Complex Systems

1. Front Matter

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2. Collective Phenomena

   1. Front Matter

      Pages 1-1

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   2. Synchronization in Networks of Mobile Agents

      • Arturo Buscarino, Luigi Fortuna, Mattia Frasca, Alessandro Rizzo

      Pages 3-25

   3. Decentralized Adaptive Control for Synchronization and Consensus of Complex Networks

      • Pietro De Lellis, Mario di Bernardo, Francesco Garofalo

      Pages 27-42

   4. Dealing with Uncertainty in Consensus Protocols

      • Dario Bauso, Laura Giarré, Raffaele Pesenti

      Pages 43-58

   5. Formation Control over Delayed Communication Network

      • Cristian Secchi, Cesare Fantuzzi

      Pages 59-74

3. Social Phenomena

   1. Front Matter

      Pages 75-75

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   2. Remarks on Epidemic Spreading in Scale-Free Networks

      • Carlo Piccardi, Renato Casagrandi

      Pages 77-89

   3. Complex Networks and Critical Infrastructures

      • Roberto Setola, Stefano De Porcellinis

      Pages 91-106

4. Sensor Networks

   1. Front Matter

      Pages 107-107

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   2. Distributed Maximum Likelihood Estimation over Unreliable Sensor Networks

      • Giuseppe C. Calafiore, Fabrizio Abrate

      Pages 109-126

   3. Optimal Sensor Scheduling for Remote Estimation over Wireless Sensor Networks

      • Roberto Ambrosino, Bruno Sinopoli, Kameshwar Poolla

      Pages 127-142

   4. Growing Fully Distributed Robust Topologies in a Sensor Network

      • Andrea Gasparri, Sandro Meloni, Stefano Panzieri

      Pages 143-158

5. System Science

   1. Front Matter

      Pages 159-159

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   2. Topological Properties in Identification and Modeling Techniques

      • Giacomo Innocenti, Donatello Materassi

      Pages 161-175

   3. Network Abstract Linear Programming with Application to Cooperative Target Localization

      • Giuseppe Notarstefano, Francesco Bullo

      Pages 177-190

   4. On the Effect of Packet Acknowledgment on the Stability and Performance of Networked Control Systems

      • Emanuele Garone, Bruno Sinopoli, Alessandro Casavola

      Pages 191-206

   5. State Estimation in a Sensor Network under Bandwidth Constraints

      • Giorgio Battistelli, Alessio Benavoli, Luigi Chisci

      Pages 207-221

   6. Admission Control in Variable Capacity Communication Networks

      • A. Pietrabissa, F. Delli Priscoli

      Pages 223-238

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.

• Networked Complex Systems
• Topologie
• communication
• complex networks
• complex systems
• complexity
• dynamical systems
• information
• linear optimization
• model
• modeling
• nonlinear dynamics
• programming
• stability
• wireless sensor 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)

• Dipartimento di Tecnica e Gestione dei Sistemi Industriali, Universitá di Padova, Vicenza, Italy

  Alessandro Chiuso

• Dipartimento di Ingegneria Elettrica Elettronica e dei Sistemi, Universitá degli Studi di Catania, Catania, Italy

  Luigi Fortuna, Mattia Frasca

• Dipartimento di Elettrotecnica ed Elettronica, Politecnico di Bari, Bari, Italy

  Alessandro Rizzo

• Dipartimento di Ingegneria dell’Informazione, Università di Padova, Padova, Italy

  Luca Schenato, Sandro Zampieri

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