| Description |
1 online resource |
| Series |
Springer complexity |
|
Understanding Complex Systems |
|
Springer complexity.
|
|
Understanding complex systems.
|
| Contents |
Cover -- Contents -- Part I: Collective Phenomena -- 1 Synchronization in Networks of Mobile Agents -- 1.1 Introduction -- 1.2 Synchronization of Time-Invariant and Time-Varying Networks -- 1.3 The Model -- 1.4 Simulation Results: Metric Interaction Scheme -- 1.5 Simulation Results: Topological Interaction Scheme -- 1.6 Conclusions -- References -- 2 Decentralized Adaptive Control for Synchronization and Consensus of Complex Networks -- 2.1 Emerging Dynamics in Complex Networks -- 2.2 An Adaptive Approach -- 2.3 Analytical Results -- 2.4 Numerical Validation -- 2.5 Robustness Analysis -- 2.6 Conclusions -- Appendix -- References -- 3 Dealing with Uncertainty in Consensus Protocols -- 3.1 Introduction -- 3.2 Graph Theory Background and Consensus Problem -- 3.3 Challenging Aspects in Consensus -- 3.4 Consensus with UBB Disturbances -- 3.5 Final Remarks -- References -- 4 Formation Control over Delayed Communication Network -- 4.1 Introduction -- 4.2 Background -- 4.3 A Port-Hamiltonian Interpretation of VBAP Approach -- 4.4 The Effect of Communication Delay -- 4.5 Simulations -- 4.6 Conclusions and Future Work -- References -- Part II: Social Phenomena -- 5 Remarks on Epidemic Spreading in Scale-Free Networks -- 5.1 Introduction -- 5.2 Spread of Diseases with Nonlinear Transmission Rates -- 5.3 Spread of Diseases with Vital Dynamics -- 5.4 Concluding Remarks -- References -- 6 Complex Networks and Critical Infrastructures -- 6.1 Introduction -- 6.2 Critical Infrastructure as Complex Network -- 6.3 Interdependency -- 6.4 Interdependency Modelling -- 6.5 Multi Interdependency Model -- 6.6 Conclusions -- 6.7 Appendix -- DC Power Flow Model -- 6.8 Appendix -- The GARR Model -- References -- Part III: Sensor Networks -- 7 Distributed Maximum Likelihood Estimation over Unreliable Sensor Networks -- 7.1 Introduction -- 7.2 The Consensus-Based Estimation Scheme -- 7.3 Mean Square Convergence Results -- 7.4 Numerical Examples -- 7.5 Conclusions and Future Work -- References -- 8 Optimal Sensor Scheduling for Remote Estimation over Wireless Sensor Networks -- 8.1 Introduction -- 8.2 Modeling of Media Access Control -- 8.3 Remote Estimation Problem -- 8.4 Sensor Selection and Scheduling -- 8.5 Illustrative Example: Monitoring -- 8.6 Conclusion -- References -- 9 Growing Fully Distributed Robust Topologies in a Sensor Network -- 9.1 Introduction -- 9.2 Related Work -- 9.3 Theoretical Background -- 9.4 The Proposed Algorithm -- 9.5 Numerical Analysis -- 9.6 Conclusions -- References -- Part IV: System Science -- 10 Topological Properties in Identification and Modeling Techniques -- 10.1 Introduction -- 10.2 Problem Formulation -- 10.3 The Frequency Approach -- 10.4 Static Models Case -- 10.5 Numerical Example -- 10.6 Conclusions -- References -- 11 Network Abstract Linear Programming with Application to Cooperative Target Localization -- 11.1 Introduction -- 11.2 Abstract Linear Programming -- 11.3 Network Models -- 11.4 Network Abstract Linear Programming -- 11.5 Distributed Computation of the Intersection of Convex Polytopes for Target Localization -- 11.6 Conclusions -- References -- 12 On the Effect of Packet Acknowledgment on the Stability and Performance of Networked Control Systems -- 12 |
| Summary |
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 |
| Bibliography |
Includes bibliographical references |
| Notes |
Print version record |
| Subject |
System analysis
|
|
systems analysis.
|
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Physique.
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System analysis
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| Form |
Electronic book
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| Author |
Chiuso, Alessandro.
|
| ISBN |
9783642031991 |
|
3642031994 |
|
3642031986 |
|
9783642031984 |
|
