: Sabato Manfredi
: Multilayer Control of Networked Cyber-Physical Systems Application to Monitoring, Autonomous and Robot Systems
: Springer-Verlag
: 9783319416465
: Advances in Industrial Control
: 1
: CHF 105.00
:
: Elektronik, Elektrotechnik, Nachrichtentechnik
: English
: 153
: Wasserzeichen/DRM
: PC/MAC/eReader/Tablet
: PDF

This book faces the interdisciplinary challenge of formulating performance-assessing design approaches for networked cyber-physical systems (NCPSs). Its novel distributed multilayer cooperative control deals simultaneously with communication-network and control performance required for the network and application layers of an NCPS respectively. Practically, it distributes the computational burden among different devices, which act cooperatively to achieve NCPS goals. The approach can be applied to NCPSs based on both wired and wireless technologies and so is suitable for future network infrastructures in which different protocols and technologies coexist. The book reports realistic results from performance evaluation of the new approach, when applied in different operative scenarios.

Readers of this book will benefit by:

  • learning a general, technology-independent methodology for the design and implementation of cooperative distributed algorithms for flow control at the network layer of an NCPS that gives algorithm-parameter-tuning guidelines for assessing the desired quality of service performance;
    understanding the main network simulators needed to validate the effectiveness of the proposed multilayer control approach in different realistic network operation scenarios; and
  • practising with a cooperative multilayer control project that assesses acceptable NCPS performance in networked monitoring and robot systems, autonomous and queuing networks, and other critical human relief applications.
Researchers, graduate students and practitioners working in automation, engineering, sensor networks, mobile robotics and computer networks will find this book instructive. It will also be helpful to network administrators and technicians implementing application-layer and network-layer solutions or installing, configuring or troubleshooting network and control system components of NCPSs.



Sabato Manfredi is Assistant Professor of Automatic Control and Adjunct Professor of System Dynamics and Industrial Automation at the Department of Electrical Engineering and Information Technology, University of Naples Federico II, Italy. He is also a member of the Control and Power Group, Electrical and Electronic Engineering Department, Imperial College - London, UK. His research interests are primarily in automatic control, with a special emphasis on the analysis and distributed /decentralized control of linear and nonlinear time-varying networks, complex networks and Cyber-Physical Systems, communication and sensor/robot networks. He has authored or co-authored more than 60 scientific publications including 14 single-author papers and collaborates with many international universities and companies. He holds European and Italian patents, is a founding member of an academic spin-off, and is involved in a range of academic and industrial projects.

Series Editors’ Foreword7
Preface9
Contents11
About the Author14
Abbreviations15
1 Multilayer Control System Framework for Cyber-Physical Systems17
1.1 Cyber-Physical Systems and Multilayer Control System Concept17
1.2 Multilayer Control System Algorithms and Performance20
1.2.1 Network Layer Consensus-Based Algorithms21
1.2.2 Network Layer Performance Metrics22
1.2.3 Application Layer Consensus-Based Algorithms23
1.2.4 Application Layer Performance Metrics25
1.3 Consensus-Based Algorithm Taxonomy26
References27
2 Network Layer Control System: Consensus-Based Control, Theoretical Results and Performance Issues29
2.1 Introduction29
2.2 Network Model and Overlay Virtual Graph31
2.3 Consensus-Based Cooperative Rate Control Scheme ƒ34
2.4 Performance Issues40
2.4.1 Set Point Regulation, Queue Balancing, and Link Utilization40
2.4.2 Fairness40
2.5 Implementation Issues41
References42
3 Application Layer Control System: Consensus-Based Control, Theoretical Results and Performance Issues44
3.1 Introduction44
3.2 Networked Monitoring and Control System Model46
3.3 Consensus-Based Cooperative Control: Stability and Convergence Results49
3.4 Performance Issues54
3.5 Implementation Issues55
3.5.1 Effect of Collision Phenomena on the Network Latency57
3.5.2 Algorithm Time Complexity59
3.6 Multilayer Control System Design60
References62
4 Application to Control of Networked Queue Systems64
4.1 Rate Control and Queue Balancing in Wired Networks ƒ64
4.1.1 Queue Length Stabilization and Balancing66
4.1.2 Link Utilization and Fairness66
4.1.3 Scalability69
4.2 Rate Control and Queue Balancing in Wireless Networks ƒ70
4.2.1 Analysis of Network Parameters Effect on WNMCS Performance74
4.2.2 Feedforward Action Term Design Validation76
4.2.3 Feedback Cooperative Term Design Validation77
4.3 Load Balancing in Content Delivery Networks: Hop-by-Hop Implementation81
4.3.1 A Load-Balanced CDN: Model Formulation85
4.3.2 A Consensus-Based Load Balancing Algorithm89
4.3.3 Simulation Experiments Validation94
4.3.4 Effects of Queue Threshold on Algorithm Performance104
4.3.5 Settling Time Analysis108
References109
5 Application to Cyber-Physical Systems113
5.1 Wireless Body Area Networked System113
5.1.1 Introduction113
5.1.2 Healthcare System Simulation and Evaluation Environment116
5.1.3 Performance Metrics120
5.1.4 Evaluation of Congestion Effect on Healthcare Delivery System Performance122
5.1.5 Weighted and Adaptive Fairness Criteria for Congestion Control in Healthcare Systems124
5.2 Wireless Networked Monitoring Systems131
5.2.1 Gain Algorithm and Routing Protocol Parameter Codesign: Simulation Experiments Validation131
5.2.2 Analysis of Trade Off Among Algorithm Responsiveness, Delay Tolerance and Number of Hop133
5.2.3 Consensus Algorithm Gain K and Routing Protocol fH Codesign135
5.3 Wireless Networked Robot Systems140
5.3.1 Algorithm Implementation141
5.3.2 Effect of Packet Collision Phenomena in the Presence of Background Traffic: Design of fH Parameter142
5.3.3 Simulation Experiments Validation and Codesign143
5.3.4 Settling Time ts Under Varying Number of Hop m: Codesign of m Parameter144
5.3.5 Effect of Collision Phenomena on the Settling Time ts: Codesign of fH Parameter145
References147
6 Correction to: Multilayer Control of Networked Cyber-Physical Systems149
Correction to: S. Manfredi, Multilayer Control of Networked Cyber-Physical Systems, Advances in Industrial Control, https://doi.org/10.1007/978-3-319-41646-5149
Index151