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H-Systems eBook

Observability, Diagnosability, And Predictability Of Hybrid Dynamical Systems

by Maria Domenica Di Benedetto e Elena De Santis
language: english
Publisher: Springer International Publishing, May of 2023 ‧
172,24€
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This book focuses on the observability of hybrid systems. It enables the reader to determine whether and how a hybrid system’s state can be reconstructed from sometimes necessarily partial information. By explaining how available measurements can be used to deduce past and future behaviours of a system, the authors extend this study of observability to embrace the properties of diagnosability and predictability.

H-systems shows how continuous and discrete dynamics and their interaction affect the observability of this general class of hybrid systems and demonstrates that hybrid characteristics are not simply generalizations of well-known aspects of traditional dynamics. The authors identify conditions for state reconstruction, prediction and diagnosis of the occurrence of possibly faulty states. The formal approach to proving those properties for hybrid systems is accompanied by simple illustrative examples. For readers who are interested in the use of state estimation for controller design, the book also provides design methods for hybrid state observers and covers their application in some industrial cases.

The book’s tutorial approach to the various forms of observability of hybrid systems helps to make H-systems of interest to academic researchers and graduate students working in control and to practitioners using control in an industrial environment.


H-Systems

Observability, Diagnosability, And Predictability Of Hybrid Dynamical Systems

by Maria Domenica Di Benedetto e Elena De Santis

Property Description
ISBN: 9783031204470
Publisher: Springer International Publishing
Release Date: May of 2023
Language: English
Format: eBook
File Format and Compatibility:
Collection: Communications And Control Engineering
Categories: eBooks in English > Computing > Operating Systems and Networks
EAN: 9783031204470
Acessibilidade: Ver características de acessibilidade indicadas pelo editor

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