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. Introduction2. Background Mathematical Results3. Controllability and Observability of an LSS4. Kalman Filtering and Robust Estimation5. State Estimation With Random Data Droppings6. Distributed State Estimation in an LSS7. Stability and Robust Stability of a Large-Scale NCS8. Control with Communication Constraints9. Distributed Control for Large-Scale NCSs10. Structure Identification for Networked Systems11. Attack Identification and Prevention in Networked Systems12. Some Related Issues
