Cover image for Estimation and Control of Large-Scale Networked Systems

Estimation and Control of Large-Scale Networked Systems

Author Tao Li , Keyou You , Tong Zhou
Release Date: 2018/06/01
ISBN: 9780128092217
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Book Description

Estimation and Control of Large Scale Networked Systems is the first book that systematically summarizes results on large-scale networked systems. In addition, the book also summarizes the most recent results on structure identification of a networked system, attack identification and prevention. Readers will find the necessary mathematical knowledge for studying large-scale networked systems, as well as a systematic description of the current status of this field, the features of these systems, difficulties in dealing with state estimation and controller design, and major achievements.

Numerical examples in chapters provide strong application backgrounds and/or are abstracted from actual engineering problems, such as gene regulation networks and electricity power systems. This book is an ideal resource for researchers in the field of systems and control engineering.

  • Provides necessary mathematical knowledge for studying large scale networked systems
  • Introduces new features for filter and control design of networked control systems
  • Summarizes the most recent results on structural identification of a networked system, attack identification and prevention

Table of Contents

  1. Cover image
  2. Title page
  3. Table of Contents
  4. Copyright
  5. Dedication
  6. Preface
  7. Acknowledgments
  8. Notation and Symbols
  9. Chapter 1: Introduction
    1. Abstract
    2. 1.1. A General View on Control System Design
    3. 1.2. Communication and Control
    4. 1.3. Book Contents
    5. 1.4. Bibliographic Notes
    6. References
  10. Chapter 2: Background Mathematical Results
    1. Abstract
    2. 2.1. Linear Space and Linear Algebra
    3. 2.2. Generalized Inverse of a Matrix
    4. 2.3. Some Useful Transformations
    5. 2.4. Set Function and Submodularity
    6. 2.5. Probability and Random Process
    7. 2.6. Markov Process and Semi-Markov Process
    8. 2.7. Bibliographic Notes
    9. References
  11. Chapter 3: Controllability and Observability of an LSS
    1. Abstract
    2. 3.1. Introduction
    3. 3.2. Controllability and Observability of an LTI System
    4. 3.3. A General Model for an LSS
    5. 3.4. Controllability and Observability for an LSS
    6. 3.5. Construction of Controllable/Observable Networked Systems
    7. 3.6. Bibliographic Notes
    8. Appendix 3.A.
    9. References
  12. Chapter 4: Kalman Filtering and Robust Estimation
    1. Abstract
    2. 4.1. Introduction
    3. 4.2. State Estimation and Observer Design
    4. 4.3. Kalman Filter as a Maximum Likelihood Estimator
    5. 4.4. Recursive Robust State Estimation Through Sensitivity Penalization
    6. 4.5. Bibliographic Notes
    7. Appendix 4.A.
    8. References
  13. Chapter 5: State Estimation With Random Data Droppings
    1. Abstract
    2. 5.1. Introduction
    3. 5.2. Intermittent Kalman Filtering (IKF)
    4. 5.3. IKF With Switching Sensors
    5. 5.4. IKF With Coded Measurement Transmission
    6. 5.5. Robust State Estimation With Random Data Droppings
    7. 5.6. Asymptotic Properties of State Estimations With Random Data Dropping
    8. 5.7. Bibliographic Notes
    9. Appendix 5.A.
    10. References
  14. Chapter 6: Distributed State Estimation in an LSS
    1. Abstract
    2. 6.1. Introduction
    3. 6.2. Predictor Design With Local Measurements
    4. 6.3. Distributed State Filtering
    5. 6.4. Asymptotic Property of the Distributed Observers
    6. 6.5. Distributed State Estimation Through Neighbor Information Exchanges
    7. 6.6. Bibliographic Notes
    8. Appendix 6.A.
    9. References
  15. Chapter 7: Stability and Robust Stability of a Large-Scale NCS
    1. Abstract
    2. 7.1. Introduction
    3. 7.2. A Networked System With Discrete-Time Subsystems
    4. 7.3. A Networked System With Continuous-Time Subsystems
    5. 7.4. Concluding Remarks
    6. 7.5. Bibliographic Notes
    7. Appendix 7.A.
    8. References
  16. Chapter 8: Control With Communication Constraints
    1. Abstract
    2. 8.1. Introduction
    3. 8.2. Entropies and Capacities of a Communication Channel
    4. 8.3. Stabilization Over Communication Channel
    5. 8.4. Universal Lower Bound
    6. 8.5. Coder–Decoder Design
    7. 8.6. Extension to Lossy Channels
    8. 8.7. Bibliographic Notes
    9. References
  17. Chapter 9: Distributed Control for Large-Scale NCSs
    1. Abstract
    2. 9.1. Introduction
    3. 9.2. Consensus of Multiagent Systems
    4. 9.3. Consensus Control With Relative State Feedback
    5. 9.4. Consensus Control With Relative Output Feedback
    6. 9.5. Formation Control for Multiagent Systems
    7. 9.6. Simulations and Experiments
    8. 9.7. Bibliographic Notes
    9. References
  18. Chapter 10: Structure Identification for Networked Systems
    1. Abstract
    2. 10.1. Introduction
    3. 10.2. Steady-State Data-Based Identification
    4. 10.3. Absolute and Relative Variations in GRN Structure Estimations
    5. 10.4. Estimation With Time Series Data
    6. 10.5. Bibliographic Notes
    7. Appendix 10.A.
    8. References
  19. Chapter 11: Attack Identification and Prevention in Networked Systems
    1. Abstract
    2. 11.1. Introduction
    3. 11.2. The SCADA System
    4. 11.3. Attack Prevention and System Transmission Zeros
    5. 11.4. Detection of Attacks
    6. 11.5. Identification of Attacks
    7. 11.6. System Security and Sensor/Actuator Placement
    8. 11.7. Concluding Remarks
    9. 11.8. Bibliographic Notes
    10. Appendix 11.A.
    11. References
  20. Chapter 12: Some Related Issues
    1. Abstract
    2. 12.1. Introduction
    3. 12.2. Cooperation Over Communications
    4. 12.3. Adaptive Mean-Field Games for Large Population Coupled ARX Systems With Unknown Coupling Strength
    5. 12.4. Other Topics and Theoretical Challenges
    6. 12.5. Bibliographic Notes
    7. Appendix 12.A.
    8. References
  21. Index
3.145.2.184