Cover Image

Principles of cyber-physical systems : an interdisciplinary approach /

Bibliographic Details
Corporate Author: Cambridge University Press
Other Authors: Roy, Sandip, 1978- (Editor), Das, Sajal K. (Editor)
Format: Book
Language:English
Published: Cambridge, United Kingdom ; New York, NY : Cambridge University Press, 2020.
Subjects:
Cooperating objects (Computer systems)
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • Cover
  • Half-title
  • Title page
  • Copyright information
  • Contents
  • List of Contributors
  • Preface
  • Part I Overcoming Uncertainty
  • 1 From Physical Processes to Theoretical Foundations of Cyber-Physical Systems Design and Optimization
  • 1.1 Introduction
  • 1.2 Characteristics of Physical Processes: Self-Similar, Fractal, and Nonstationary Dynamics
  • 1.3 Workloads in Cyber-Physical Systems
  • 1.4 New Formalism for Modeling Cyber-Physical Workloads
  • 1.5 CPS Design under Uncertainty Conditions
  • 1.6 Mathematical Implications of the Fractal Formalism on Bio-implantable CPS Medical Devices
  • 1.7 Conclusion and Future Work
  • 1.8 Acknowledgments
  • 2 Effective Uncertainty Evaluation in Large-Scale Systems
  • 2.1 Introduction
  • 2.2 The Background of Simulation-Based Uncertainty Evaluation
  • 2.2.1 Problem Formulation
  • 2.2.2 Monte Carlo Methods
  • 2.2.3 Sampling-Based Methods
  • 2.3 Single-Variable PCM
  • 2.3.1 Key Properties
  • 2.3.2 Design Procedures
  • 2.4 Multivariate PCM
  • 2.4.1 Independent M-PCM
  • 2.4.2 Correlated M-PCM
  • 2.5 Scalable M-PCM Design
  • 2.5.1 Introduction
  • 2.5.2 Design Procedures
  • 2.5.3 Properties of the M-PCM-OFFD
  • 2.6 Application to Air Traffic Flow Management
  • 2.7 Concluding Remarks and Future Works
  • 3 A Flexible Graph Partitioning Algorithm for Cyber-Physical Systems
  • 3.1 Introduction
  • 3.2 Influence Model: Review
  • 3.2.1 Notations
  • 3.3 Influence Model-Based Partitioning Algorithm
  • 3.4 Performance Analysis
  • 3.5 Characterizing Weak Cuts
  • 3.5.1 Perturbation of Eigenvalues
  • 3.5.2 Eigenvector Sensitivity
  • 3.6 Integrative Theorem and Discussion
  • Part I Exercises
  • Part II Exploiting Structure for Control
  • 4 A Survey on Remote Estimation Problems
  • 4.1 Introduction
  • 4.1.1 Organization
  • 4.1.2 Notation
  • 4.2 Optimal Estimation with Limited Transmissions
  • 4.2.1 The Imer-Basar Problem
  • 4.2.2 Variations and Extensions
  • 4.2.3 Main Features of the Imer-Basar Problem
  • 4.3 Optimal Communication Logics
  • 4.3.1 The Xu-Hespanha Problem
  • 4.3.2 Variations and Extensions
  • 4.3.3 Main Features of the Xu-Hespanha Problem
  • 4.4 Remote Estimation with Communication Costs
  • 4.4.1 The Lipsa-Martins Problem
  • 4.4.2 Variations and Extensions
  • 4.4.3 Main Features of the Lipsa-Martins Problem
  • 4.5 Remote Estimation in Continuous Time
  • 4.5.1 The Rabi-Moustakides-Baras Problem
  • 4.5.2 Variations and Extensions
  • 4.5.3 Main Features of the Rabi-Moustakides-Baras Problem
  • 4.6 Sensor Scheduling versus Event-Driven Strategies for Remote Estimation
  • 4.6.1 Separation of Sensor Scheduling and Control
  • 4.6.2 Sensor Scheduling in Continuous Time
  • 4.6.3 Sensor Scheduling in Discrete Time
  • 4.6.4 Event-Driven Strategies for Remote Estimation
  • 4.6.5 Estimation over Shared Networks
  • 4.7 Estimation over the Collision Channel
  • 4.8 Conclusion