Manfredi Multilayer Control of Networked Cyber-Physical Systems

Application to Monitoring, Autonomous and Robot Systems
1. Auflage 2017
ISBN: 978-3-319-41646-5
Verlag: Springer Nature Switzerland
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 153 Seiten

Reihe: Advances in Industrial Control

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; learning a general methodology for the design and implementation of consensus-based algorithms at the application layer that allows monitoring and control of distributed physical systems and gives algorithm-parameter-tuning guidelines for assessing the desired control system 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.

Autoren/Hrsg.

Manfredi, Sabato

Inhaltsverzeichnis

1;Series Editors’ Foreword;7
2;Preface;9
3;Contents;11
4;About the Author;14
5;Abbreviations;15
6;1 Multilayer Control System Framework for Cyber-Physical Systems;17
6.1;1.1 Cyber-Physical Systems and Multilayer Control System Concept;17
6.2;1.2 Multilayer Control System Algorithms and Performance;20
6.2.1;1.2.1 Network Layer Consensus-Based Algorithms;21
6.2.2;1.2.2 Network Layer Performance Metrics;22
6.2.3;1.2.3 Application Layer Consensus-Based Algorithms;23
6.2.4;1.2.4 Application Layer Performance Metrics;25
6.3;1.3 Consensus-Based Algorithm Taxonomy;26
6.4;References;27
7;2 Network Layer Control System: Consensus-Based Control, Theoretical Results and Performance Issues;29
7.1;2.1 Introduction;29
7.2;2.2 Network Model and Overlay Virtual Graph;31
7.3;2.3 Consensus-Based Cooperative Rate Control Scheme ƒ;34
7.4;2.4 Performance Issues;40
7.4.1;2.4.1 Set Point Regulation, Queue Balancing, and Link Utilization;40
7.4.2;2.4.2 Fairness;40
7.5;2.5 Implementation Issues;41
7.6;References;42
8;3 Application Layer Control System: Consensus-Based Control, Theoretical Results and Performance Issues;44
8.1;3.1 Introduction;44
8.2;3.2 Networked Monitoring and Control System Model;46
8.3;3.3 Consensus-Based Cooperative Control: Stability and Convergence Results;49
8.4;3.4 Performance Issues;54
8.5;3.5 Implementation Issues;55
8.5.1;3.5.1 Effect of Collision Phenomena on the Network Latency;57
8.5.2;3.5.2 Algorithm Time Complexity;59
8.6;3.6 Multilayer Control System Design;60
8.7;References;62
9;4 Application to Control of Networked Queue Systems;64
9.1;4.1 Rate Control and Queue Balancing in Wired Networks ƒ;64
9.1.1;4.1.1 Queue Length Stabilization and Balancing;66
9.1.2;4.1.2 Link Utilization and Fairness;66
9.1.3;4.1.3 Scalability;69
9.2;4.2 Rate Control and Queue Balancing in Wireless Networks ƒ;70
9.2.1;4.2.1 Analysis of Network Parameters Effect on WNMCS Performance;74
9.2.2;4.2.2 Feedforward Action Term Design Validation;76
9.2.3;4.2.3 Feedback Cooperative Term Design Validation;77
9.3;4.3 Load Balancing in Content Delivery Networks: Hop-by-Hop Implementation;81
9.3.1;4.3.1 A Load-Balanced CDN: Model Formulation;85
9.3.2;4.3.2 A Consensus-Based Load Balancing Algorithm;89
9.3.3;4.3.3 Simulation Experiments Validation;94
9.3.4;4.3.4 Effects of Queue Threshold on Algorithm Performance;104
9.3.5;4.3.5 Settling Time Analysis;108
9.4;References;109
10;5 Application to Cyber-Physical Systems;113
10.1;5.1 Wireless Body Area Networked System;113
10.1.1;5.1.1 Introduction;113
10.1.2;5.1.2 Healthcare System Simulation and Evaluation Environment;116
10.1.3;5.1.3 Performance Metrics;120
10.1.4;5.1.4 Evaluation of Congestion Effect on Healthcare Delivery System Performance;122
10.1.5;5.1.5 Weighted and Adaptive Fairness Criteria for Congestion Control in Healthcare Systems;124
10.2;5.2 Wireless Networked Monitoring Systems;131
10.2.1;5.2.1 Gain Algorithm and Routing Protocol Parameter Codesign: Simulation Experiments Validation;131
10.2.2;5.2.2 Analysis of Trade Off Among Algorithm Responsiveness, Delay Tolerance and Number of Hop;133
10.2.3;5.2.3 Consensus Algorithm Gain K and Routing Protocol fH Codesign;135
10.3;5.3 Wireless Networked Robot Systems;140
10.3.1;5.3.1 Algorithm Implementation;141
10.3.2;5.3.2 Effect of Packet Collision Phenomena in the Presence of Background Traffic: Design of fH Parameter;142
10.3.3;5.3.3 Simulation Experiments Validation and Codesign;143
10.3.4;5.3.4 Settling Time ts Under Varying Number of Hop m: Codesign of m Parameter;144
10.3.5;5.3.5 Effect of Collision Phenomena on the Settling Time ts: Codesign of fH Parameter;145
10.4;References;147
11;6 Correction to: Multilayer Control of Networked Cyber-Physical Systems;149
11.1;Correction to: S. Manfredi, Multilayer Control of Networked Cyber-Physical Systems, Advances in Industrial Control, https://doi.org/10.1007/978-3-319-41646-5;149
12;Index;151