Data-Rate-Constrained State Estimation and Control of Complex Networked Systems
eBook - ePub

Data-Rate-Constrained State Estimation and Control of Complex Networked Systems

  1. 256 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Data-Rate-Constrained State Estimation and Control of Complex Networked Systems

About this book

This book presents research developments and novel methodologies on data-rate-constrained control and state estimation for complex networked systems with different kinds of encoding-decoding mechanisms. It describes framework of state estimator and controller design, stability and performance analysis for data-rate constrained complex systems with various kinds of encoding-decoding schemes and so forth. Simulations given in this book are constructed by applying MATLAB® software package.

Features:

  • Gives a systematic investigation of the control and state estimation for complex networked systems subject to the data rate constraint.
  • Develops control/filtering algorithms in a unified framework.
  • Includes comparisons for different coding-decoding techniques proposed.
  • Discusses theoretical value and practical application for the resource-constrained communication environment.
  • Provides performance analysis as well as the parameterizations of filters and FD units.

This book is aimed at researchers and graduate students in electrical engineering, signal processing, control systems and complex networks.

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Yes, you can access Data-Rate-Constrained State Estimation and Control of Complex Networked Systems by Licheng Wang,Zidong Wang,Guoliang Wei in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Electrical Engineering & Telecommunications. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover Page
  2. Half Title Page
  3. Title Page
  4. Copyright Page
  5. Dedication
  6. Contents
  7. List of Figures
  8. List of Tables
  9. Preface
  10. Foreword
  11. Acknowledgment
  12. Contributors
  13. Symbols
  14. 1 Introduction
  15. 2 Gain-Scheduled State Estimation for Discrete-Time Complex Networks under Bit-Rate Constraints
  16. 3 Partial-Neurons-Based State Estimation for Artificial Neural Networks under Constrained Bit Rate: The Finite-Time Case
  17. 4 Synchronization Control for a Class of Discrete-Time Dynamical Networks with Packet Dropouts: A Coding-Decoding-Based Approach
  18. 5 Observer-Based Consensus Control for Discrete-Time Multi-Agent Systems with Coding-Decoding Communication Protocol
  19. 6 Recursive Filtering with Measurement Fading: A Multiple Description Coding Scheme
  20. 7 Stabilization of Linear Discrete-Time Systems over Resource-Constrained Networks under Dynamical Multiple Description Coding Scheme
  21. 8 An Event-Triggered Encoding Approach to Control of Linear Systems under Bit Rate Conditions
  22. 9 Event-Based State Estimation under Constrained Bit Rate: An Encoding-Decoding Approach 9
  23. 10 Conclusions and Future Topics
  24. Bibliography
  25. Index