Control and state estimation for dynamical network systems with complex samplings / Bo Shen, Zidong Wang, Qi Li.

Contents Stabilization and control under noisy sampling intervals -- Distributed state estimation over sensor networks with nonuniform samplings -- Event-triggered control for switched systems -- Event-triggered H8 state estimation for state-saturated systems -- Event-triggered state estimation for discrete-time neural networks -- Event-triggered fusion estimation for multi-rate systems -- Synchronization control under dynamic event-triggered mechanisms -- Filtering or state estimation under dynamic event-triggered mechanisms -- Conclusions and future work.
Abstract "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, novel design technologies are proposed for controllers/estimators. Simulation results are provided for better understanding of the proposed control/filtering methods. This book aims at researchers, professionals, graduate students in control engineering, and signal processing"-- Provided by publisher.
Bibliography noteIncludes bibliographical references and index.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Genre/formElectronic books.
LCCN 2022009046
ISBN9781032309965 (hardback)
ISBN9781032310206 (paperback)
ISBN(ebook)

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