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.
Table of 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
