Cover image

Title page

Copyright

Dedication

Preface

Acknowledgments

Notation and Symbols

Chapter 1: Introduction

Abstract

1.1. A General View on Control System Design

1.2. Communication and Control

1.3. Book Contents

1.4. Bibliographic Notes

References

Chapter 2: Background Mathematical Results

Abstract

2.1. Linear Space and Linear Algebra

2.2. Generalized Inverse of a Matrix

2.3. Some Useful Transformations

2.4. Set Function and Submodularity

2.5. Probability and Random Process

2.6. Markov Process and Semi-Markov Process

2.7. Bibliographic Notes

References

Chapter 3: Controllability and Observability of an LSS

Abstract

3.1. Introduction

3.2. Controllability and Observability of an LTI System

3.3. A General Model for an LSS

3.4. Controllability and Observability for an LSS

3.5. Construction of Controllable/Observable Networked Systems

3.6. Bibliographic Notes

Appendix 3.A.

References

Chapter 4: Kalman Filtering and Robust Estimation

Abstract

4.1. Introduction

4.2. State Estimation and Observer Design

4.3. Kalman Filter as a Maximum Likelihood Estimator

4.4. Recursive Robust State Estimation Through Sensitivity Penalization

4.5. Bibliographic Notes

Appendix 4.A.

References

Chapter 5: State Estimation With Random Data Droppings

Abstract

5.1. Introduction

5.2. Intermittent Kalman Filtering (IKF)

5.3. IKF With Switching Sensors

5.4. IKF With Coded Measurement Transmission

5.5. Robust State Estimation With Random Data Droppings

5.6. Asymptotic Properties of State Estimations With Random Data Dropping

5.7. Bibliographic Notes

Appendix 5.A.

References

Chapter 6: Distributed State Estimation in an LSS

Abstract

6.1. Introduction

6.2. Predictor Design With Local Measurements

6.3. Distributed State Filtering

6.4. Asymptotic Property of the Distributed Observers

6.5. Distributed State Estimation Through Neighbor Information Exchanges

6.6. Bibliographic Notes

Appendix 6.A.

References

Chapter 7: Stability and Robust Stability of a Large-Scale NCS

Abstract

7.1. Introduction

7.2. A Networked System With Discrete-Time Subsystems

7.3. A Networked System With Continuous-Time Subsystems

7.4. Concluding Remarks

7.5. Bibliographic Notes

Appendix 7.A.

References

Chapter 8: Control With Communication Constraints

Abstract

8.1. Introduction

8.2. Entropies and Capacities of a Communication Channel

8.3. Stabilization Over Communication Channel

8.4. Universal Lower Bound

8.5. Coder–Decoder Design

8.6. Extension to Lossy Channels

8.7. Bibliographic Notes

References

Chapter 9: Distributed Control for Large-Scale NCSs

Abstract

9.1. Introduction

9.2. Consensus of Multiagent Systems

9.3. Consensus Control With Relative State Feedback

9.4. Consensus Control With Relative Output Feedback

9.5. Formation Control for Multiagent Systems

9.6. Simulations and Experiments

9.7. Bibliographic Notes

References

Chapter 10: Structure Identification for Networked Systems

Abstract

10.1. Introduction

10.2. Steady-State Data-Based Identification

10.3. Absolute and Relative Variations in GRN Structure Estimations

10.4. Estimation With Time Series Data

10.5. Bibliographic Notes

Appendix 10.A.

References

Chapter 11: Attack Identification and Prevention in Networked Systems

Abstract

11.1. Introduction

11.2. The SCADA System

11.3. Attack Prevention and System Transmission Zeros

11.4. Detection of Attacks

11.5. Identification of Attacks

11.6. System Security and Sensor/Actuator Placement

11.7. Concluding Remarks

11.8. Bibliographic Notes

Appendix 11.A.

References

Chapter 12: Some Related Issues

Abstract

12.1. Introduction

12.2. Cooperation Over Communications

12.3. Adaptive Mean-Field Games for Large Population Coupled ARX Systems With Unknown Coupling Strength

12.4. Other Topics and Theoretical Challenges

12.5. Bibliographic Notes

Appendix 12.A.

References

Index