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Control and State Estimation for Dynamical Network Systems with Complex Samplings

Control and State Estimation for Dynamical Network Systems with Complex Samplings

by Bo ShenZidong Wang and Qi Li
Hardback
Publication Date: 14/09/2022

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This book focuses on the control and state estimation problems for dynamical network systems with complex samplings subject to various network-induced phenomena. It includes a series of control and state estimation problems tackled under the passive sampling fashion. Further, it explains the effects from the active sampling fashion, i.e., event-based sampling is examined on the control/estimation performance, and novel design technologies are proposed for controllers/estimators. Simulation results are provided for better understanding of the proposed control/filtering methods. By drawing on a variety of theories and methodologies such as Lyapunov function, linear matrix inequalities, and Kalman theory, sufficient conditions are derived for guaranteeing the existence of the desired controllers and estimators, which are parameterized according to certain matrix inequalities or recursive matrix equations.



Covers recent advances of control and state estimation for dynamical network systems with complex samplings from the engineering perspective
Systematically introduces the complex sampling concept, methods, and application for the control and state estimation
Presents unified framework for control and state estimation problems of dynamical network systems with complex samplings
Exploits a set of the latest techniques such as linear matrix inequality approach, Vandermonde matrix approach, and trace derivation approach
Explains event-triggered multi-rate fusion estimator, resilient distributed sampled-data estimator with predetermined specifications

This book is aimed at researchers, professionals, and graduate students in control engineering and signal processing.
ISBN:
9781032309965
9781032309965
Category:
Automatic control engineering
Format:
Hardback
Publication Date:
14-09-2022
Publisher:
Taylor & Francis Ltd
Country of origin:
United Kingdom
Pages:
282
Dimensions (mm):
234x156mm
Weight:
0.55kg

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