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Hsystems Observability Diagnosability And Predictability Of Hybrid Dynamical Systems Elena De Santis

  • SKU: BELL-50132248
Hsystems Observability Diagnosability And Predictability Of Hybrid Dynamical Systems Elena De Santis
$ 31.00 $ 45.00 (-31%)

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Hsystems Observability Diagnosability And Predictability Of Hybrid Dynamical Systems Elena De Santis instant download after payment.

Publisher: Springer
File Extension: PDF
File size: 4.08 MB
Pages: 304
Author: Elena De Santis, Maria Domenica Di Benedetto
ISBN: 9783031204463, 3031204468
Language: English
Year: 2023

Product desciption

Hsystems Observability Diagnosability And Predictability Of Hybrid Dynamical Systems Elena De Santis by Elena De Santis, Maria Domenica Di Benedetto 9783031204463, 3031204468 instant download after payment.

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.


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