Control and State Estimation for Dynamical Network Systems with Complex Samplings

Language: English

Published by Taylor and Francis Ltd, GB, 2024

1032310200 / 9781032310206

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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, su?cient 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 perspectiveSystematically introduces the complex sampling concept, methods, and application for the control and state estimationPresents unified framework for control and state estimation problems of dynamical network systems with complex samplingsExploits a set of the latest techniques such as linear matrix inequality approach, Vandermonde matrix approach, and trace derivation approachExplains event-triggered multi-rate fusion estimator, resilient distributed sampled-data estimator with predetermined specificationsThis book is aimed at researchers, professionals, and graduate students in control engineering and signal processing.…

Seller Inventory # LU-9781032310206

Title
Control and State Estimation for Dynamical Network Systems with Complex Samplings
Author
Bo Shen, Zidong Wang, Qi Li
Publisher
Taylor and Francis Ltd, GB
Publication year
2024
Condition
New
Binding
Paperback
Language
English
ISBN 10
1032310200
ISBN 13
9781032310206
Item weight
444 grams

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