Analysis and Synthesis for Networked Multi-Rate Systems

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Analysis and Synthesis for Networked Multi-Rate Systems

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  • 製本 Paperback:紙装版/ペーパーバック版/ページ数 241 p.
  • 言語 ENG
  • 商品コード 9781032619491
  • DDC分類 621.3822

Full Description

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.

Contents

Chapter 1
Introduction

Chapter 2
Non-Fragile H∞ Filtering for Multi-Rate Time-Delayed Sys□tems over Sensor Networks

Chapter 3
H∞ Filtering for Multi-Rate Artificial Neural Networks with Integral Measurements

Chapter 4
Recursive State Estimation for Multi-Rate Systems with Sen□sor Resolutions

Chapter 5
Minimum-Variance State and Fault Estimation for Multi□Rate Systems with Dynamical Bias

Chapter 6
H∞ Filtering for Multi-Rate Systems under p-Persistent CS□MA Protocol

Chapter 7
l2-l∞ State Estimation for Artificial Neural Networks under High-Rate Channels with Round-Robin Protoco

Chapter 8
Recursive State Estimation for Multi-Rate Systems with Dis□tributed Time-Delays under Round-Robin Protocol

Chapter 9
Fusion Estimation for Multi-Rate Linear Repetitive Process□es under Weighted Try-Once-Discard Protocol

Chapter 10
Outlier-Resistant Recursive Filtering for Multi-Rate Systems under Weighted Try-Once-Discard Protocol

Chapter 11
Dynamic Event-Based Recursive Filtering for Multi-Rate Systems with Integral Measurements over Sensor Networks

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