Modelling, Estimation and Control of Networked Complex Systems

✍ Scribed by Arturo Buscarino, Luigi Fortuna, Mattia Frasca, Alessandro Rizzo (auth.), Alessandro Chiuso, Luigi Fortuna, Mattia Frasca, Alessandro Rizzo, Luca Schenato, Sandro Zampieri (eds.)

Publisher: Springer-Verlag Berlin Heidelberg
Year: 2009
Tongue: English
Leaves: 241
Series: Understanding Complex Systems
Edition: 1
Category: Library

⬇ Acquire This Volume

No coin nor oath required. For personal study only.

✦ Synopsis

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 capabilities.

✦ Table of Contents

Front Matter....Pages -
Front Matter....Pages 1-1
Synchronization in Networks of Mobile Agents....Pages 3-25
Decentralized Adaptive Control for Synchronization and Consensus of Complex Networks....Pages 27-42
Dealing with Uncertainty in Consensus Protocols....Pages 43-58
Formation Control over Delayed Communication Network....Pages 59-74
Front Matter....Pages 75-75
Remarks on Epidemic Spreading in Scale-Free Networks....Pages 77-89
Complex Networks and Critical Infrastructures....Pages 91-106
Front Matter....Pages 107-107
Distributed Maximum Likelihood Estimation over Unreliable Sensor Networks....Pages 109-126
Optimal Sensor Scheduling for Remote Estimation over Wireless Sensor Networks....Pages 127-142
Growing Fully Distributed Robust Topologies in a Sensor Network....Pages 143-158
Front Matter....Pages 159-159
Topological Properties in Identification and Modeling Techniques....Pages 161-175
Network Abstract Linear Programming with Application to Cooperative Target Localization....Pages 177-190
On the Effect of Packet Acknowledgment on the Stability and Performance of Networked Control Systems....Pages 191-206
State Estimation in a Sensor Network under Bandwidth Constraints....Pages 207-221
Admission Control in Variable Capacity Communication Networks....Pages 223-238

✦ Subjects

Vibration, Dynamical Systems, Control;Statistical Physics, Dynamical Systems and Complexity;Communications Engineering, Networks;Appl.Mathematics/Computational Methods of Engineering;Dynamical Systems and Ergodic Theory

📜 SIMILAR VOLUMES

Control and State Estimation for Dynamic

📁 Control and State Estimation for Dynamical Network Systems with Complex Samplings

✍ Bo Shen, Zidong Wang, Qi Li 📂 Library 📅 2022 🏛 CRC Press 🌐 English

This book focuses on the control and state estimation problems for dynamical network systems with complex samplings subject to various network-induced phenomena. It includes a series of control and state estimation problems tackled under the passive sampling fashion. Further, it explains the effects

Estimation and Control of Large-Scale Ne

📁 Estimation and Control of Large-Scale Networked Systems

✍ Tong Zhou, Keyou You, Tao Li 📂 Library 📅 2018 🏛 B H 🌐 English

Estimation and Control of Large Scale Networked Systems is the first book that systematically summarizes results on large-scale networked systems. In addition, the book also summarizes the most recent results on structure identification of a networked system, attack identification and prevention. Re

Advances in State Estimation, Diagnosis

📁 Advances in State Estimation, Diagnosis and Control of Complex Systems

✍ Ye Wang 📂 Library 📅 2021 🏛 Springer International Publishing;Springer 🌐 English

<p><p></p><p>This book presents theoretical and practical findings on the state estimation, diagnosis and control of complex systems, especially in the mathematical form of descriptor systems. The research is fully motivated by real-world applications (i.e., Barcelona’s water distribution network),

Modelling and Parameter Estimation of Dy

📁 Modelling and Parameter Estimation of Dynamic Systems (IEE Control Engineering)

✍ J. R. Raol, G. Girija, J. Singh 📂 Library 📅 2004 🌐 English

Parameter estimation is the process of using observations from a system to develop mathematical models that adequately represent the system dynamics. The assumed model consists of a finite set of parameters, the values of which are calculated using estimation techniques. Most of the techniques that

Modeling and Control of Complex Systems

📁 Modeling and Control of Complex Systems (Automation and Control Engineering)

✍ Petros A. Ioannou, Andreas Pitsillides 📂 Library 📅 2007 🏛 CRC Press 🌐 English

Comprehension of complex systems comes from an understanding of not only the behavior of constituent elements but how they act together to form the behavior of the whole. However, given the multidisciplinary nature of complex systems, the scattering of information across different areas creates a ch

Modelling, Analysis, and Control of Netw

📁 Modelling, Analysis, and Control of Networked Dynamical Systems

✍ Ziyang Meng, Tao Yang, Karl H. Johansson 📂 Library 📅 2021 🏛 Birkhäuser 🌐 English

<div>This monograph provides a comprehensive exploration of new tools for modelling, analysis, and control of networked dynamical systems. Expanding on the authors’ previous work, this volume highlights how local exchange of information and cooperation among neighboring agents can lead to emergent g