Multilayer Control of Networked Cyber-Physical Systems (eBook)

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’ Foreword 7
Preface 9
Contents 11
About the Author 14
Abbreviations 15
1 Multilayer Control System Framework for Cyber-Physical Systems 17
1.1 Cyber-Physical Systems and Multilayer Control System Concept 17
1.2 Multilayer Control System Algorithms and Performance 20
1.2.1 Network Layer Consensus-Based Algorithms 21
1.2.2 Network Layer Performance Metrics 22
1.2.3 Application Layer Consensus-Based Algorithms 23
1.2.4 Application Layer Performance Metrics 25
1.3 Consensus-Based Algorithm Taxonomy 26
References 27
2 Network Layer Control System: Consensus-Based Control, Theoretical Results and Performance Issues 29
2.1 Introduction 29
2.2 Network Model and Overlay Virtual Graph 31
2.3 Consensus-Based Cooperative Rate Control Scheme ƒ 34
2.4 Performance Issues 40
2.4.1 Set Point Regulation, Queue Balancing, and Link Utilization 40
2.4.2 Fairness 40
2.5 Implementation Issues 41
References 42
3 Application Layer Control System: Consensus-Based Control, Theoretical Results and Performance Issues 44
3.1 Introduction 44
3.2 Networked Monitoring and Control System Model 46
3.3 Consensus-Based Cooperative Control: Stability and Convergence Results 49
3.4 Performance Issues 54
3.5 Implementation Issues 55
3.5.1 Effect of Collision Phenomena on the Network Latency 57
3.5.2 Algorithm Time Complexity 59
3.6 Multilayer Control System Design 60
References 62
4 Application to Control of Networked Queue Systems 64
4.1 Rate Control and Queue Balancing in Wired Networks ƒ 64
4.1.1 Queue Length Stabilization and Balancing 66
4.1.2 Link Utilization and Fairness 66
4.1.3 Scalability 69
4.2 Rate Control and Queue Balancing in Wireless Networks ƒ 70
4.2.1 Analysis of Network Parameters Effect on WNMCS Performance 74
4.2.2 Feedforward Action Term Design Validation 76
4.2.3 Feedback Cooperative Term Design Validation 77
4.3 Load Balancing in Content Delivery Networks: Hop-by-Hop Implementation 81
4.3.1 A Load-Balanced CDN: Model Formulation 85
4.3.2 A Consensus-Based Load Balancing Algorithm 89
4.3.3 Simulation Experiments Validation 94
4.3.4 Effects of Queue Threshold on Algorithm Performance 104
4.3.5 Settling Time Analysis 108
References 109
5 Application to Cyber-Physical Systems 113
5.1 Wireless Body Area Networked System 113
5.1.1 Introduction 113
5.1.2 Healthcare System Simulation and Evaluation Environment 116
5.1.3 Performance Metrics 120
5.1.4 Evaluation of Congestion Effect on Healthcare Delivery System Performance 122
5.1.5 Weighted and Adaptive Fairness Criteria for Congestion Control in Healthcare Systems 124
5.2 Wireless Networked Monitoring Systems 131
5.2.1 Gain Algorithm and Routing Protocol Parameter Codesign: Simulation Experiments Validation 131
5.2.2 Analysis of Trade Off Among Algorithm Responsiveness, Delay Tolerance and Number of Hop 133
5.2.3 Consensus Algorithm Gain K and Routing Protocol fH Codesign 135
5.3 Wireless Networked Robot Systems 140
5.3.1 Algorithm Implementation 141
5.3.2 Effect of Packet Collision Phenomena in the Presence of Background Traffic: Design of fH Parameter 142
5.3.3 Simulation Experiments Validation and Codesign 143
5.3.4 Settling Time ts Under Varying Number of Hop m: Codesign of m Parameter 144
5.3.5 Effect of Collision Phenomena on the Settling Time ts: Codesign of fH Parameter 145
References 147
6 Correction to: Multilayer Control of Networked Cyber-Physical Systems 149
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
Index 151