Textbook
Data-Rate-Constrained State Estimation and Control of Complex Networked Systems
Author(s): Licheng Wang

Description
Chapter 1 introduces the recent advances on data-rate-constrained control and state estimation problems for networked systems and the outline of the book. Chapter 2 investigates the state estimation for discrete-time complex networks subject to date-rate constraints. Chapter 3 is concerned with the  nite-time state estimation problem for arti cial neural networks under constrained bit rate, where only partial neurons measurement outputs are available for the state estimation task. Chapter 4 considers the synchronization control for a class of discrete-time dynamical networks with a uniform-based encoding-decoding method. Chapter 5 studies the observer-based consensus control for discrete-time multi-agent systems with coding-decoding communication protocol. Chapter 6 deals with the recursive  ltering problem for time-varying systems where a static multiple description coding scheme is introduced to facilitate the data transmission. Chapter 7 addresses the stabilization issue of linear discrete-time systems over resource-constrained networks under dynamical multiple description coding scheme. In Chapter 8, an event-triggered encoding approach is employed to the control issue of linear systems under bit rate conditions. Chapter 9 discusses a sign-based coding approach to the state estimation problem under constrained bit rate. Chapter 10 gives the conclusion and some possible future research directions. Simulations given in this book are constructed by applying The MathWorks MATLAB software package.