Analysis and Synthesis for Networked Multi-Rate Systems
eBook - ePub

Analysis and Synthesis for Networked Multi-Rate Systems

  1. 241 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Analysis and Synthesis for Networked Multi-Rate Systems

About this book

This book presents novel state estimation methods for several classes of networked multi-rate systems including state estimation methods for networked multi-rate systems with various complex networked-induced phenomena and communication protocols. The systems investigated include stochastic nonlinear systems, time-delay systems, linear repetitive processes, and artificial neural networks. The techniques used are mainly the Lyapunov stability theory, the optimal estimation theory, the lifting technique, and certain convex optimization method.

Features

  • Gives a systematic investigation of the state estimation of multi-rate systems
  • Discusses results on state estimation problems under network-induced complexities
  • Studies different kinds of multi-rate systems including multi-rate nonlinear systems, multi-rate neural networks, and multi-rate linear repetitive processes
  • Explores network-enhanced complexities and communication protocols
  • Includes case studies showing the applicability of developed estimation algorithms including practical examples like DC servo systems and continuous stirred tank reactor systems

Analysis and Synthesis for Networked Multi-Rate Systems is aimed at graduate students and researchers in signal processing, control systems, and electrical engineering.

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Yes, you can access Analysis and Synthesis for Networked Multi-Rate Systems by Yuxuan Shen,Zidong Wang,Hongli Dong 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 Page
  6. Contents
  7. Preface
  8. Authors
  9. Acknowledgments
  10. Symbols
  11. 1 Introduction
  12. 2 Non-Fragile H∞ Filtering for Multi-Rate Time-Delayed Systems over Sensor Networks
  13. 3 H∞ Filtering for Multi-Rate Artificial Neural Networks with Integral Measurements
  14. 4 Recursive State Estimation for Multi-Rate Systems with Sensor Resolutions
  15. 5 Minimum-Variance State and Fault Estimation for Multi-Rate Systems with Dynamical Bias
  16. 6 H∞ Filtering for Multi-Rate Systems under p-Persistent CSMA Protocol
  17. 7 l2-l∞ State Estimation for Artificial Neural Networks under High-Rate Channels with Round-Robin Protocol
  18. 8 Recursive State Estimation for Multi-Rate Systems with Distributed Time-Delays under Round-Robin Protocol
  19. 9 Fusion Estimation for Multi-Rate Linear Repetitive Processes under Weighted Try-Once-Discard Protocol
  20. 10 Outlier-Resistant Recursive Filtering for Multi-Rate Systems under Weighted Try-Once-Discard Protocol
  21. 11 Dynamic Event-Based Recursive Filtering for Multi-Rate Systems with Integral Measurements over Sensor Networks
  22. 12 Conclusion and Further Work
  23. Bibliography
  24. Index