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H-systems = observability, diagnosab...

De Santis, Elena.

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H-systems = observability, diagnosability, and predictability of hybrid dynamical systems /

Record Type:	Electronic resources : Monograph/item
Title/Author:	H-systems/ by Elena De Santis, Maria Domenica Di Benedetto.
Reminder of title:	observability, diagnosability, and predictability of hybrid dynamical systems /
Author:	De Santis, Elena.
other author:	Di Benedetto, Maria Domenica.
Published:	Cham :Springer International Publishing : : 2023.,
Description:	1 online resource (xxi, 293 p.) :ill., digital ;24 cm.
[NT 15003449]:	Chapter 1. Introduction -- Chapter 2. H-systems -- Chapter 3. Discrete Structure of H-systems and Background on Finite State Machines -- Chapter 4. Observability, Diagnosability and Predictability of Finite State Machines -- Chapter 5. Extending Diagnosability Properties for Finite State Machines -- Chapter 6. Observability of H-systems -- Chapter 7.Continuous Dynamics Distinguishability -- Chapter 8. Enriching Discrete Information in H-systems -- Chapter 9. Observability Characterization for H-systems -- Chapter 10. Relaxing the Observability Notion -- Chapter 11. Diagnosability and Predictability for H-systems -- Chapter 12. Observer Design for LH-systems -- Chapter 13. Some Applications to Automotive Control -- Index.
Contained By:	Springer Nature eBook
Subject:	Hybrid systems. -
Online resource:	https://doi.org/10.1007/978-3-031-20447-0
ISBN:	9783031204470

H-systems = observability, diagnosability, and predictability of hybrid dynamical systems /
De Santis, Elena.

H-systemsobservability, diagnosability, and predictability of hybrid dynamical systems /[electronic resource] :by Elena De Santis, Maria Domenica Di Benedetto. - Cham :Springer International Publishing :2023. - 1 online resource (xxi, 293 p.) :ill., digital ;24 cm. - Communications and control engineering,2197-7119. - Communications and control engineering..

Chapter 1. Introduction -- Chapter 2. H-systems -- Chapter 3. Discrete Structure of H-systems and Background on Finite State Machines -- Chapter 4. Observability, Diagnosability and Predictability of Finite State Machines -- Chapter 5. Extending Diagnosability Properties for Finite State Machines -- Chapter 6. Observability of H-systems -- Chapter 7.Continuous Dynamics Distinguishability -- Chapter 8. Enriching Discrete Information in H-systems -- Chapter 9. Observability Characterization for H-systems -- Chapter 10. Relaxing the Observability Notion -- Chapter 11. Diagnosability and Predictability for H-systems -- Chapter 12. Observer Design for LH-systems -- Chapter 13. Some Applications to Automotive Control -- Index.

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.

ISBN: 9783031204470

Standard No.: 10.1007/978-3-031-20447-0doiSubjects--Topical Terms:

1066717
Hybrid systems.

LC Class. No.: QA76.38

Dewey Class. No.: 004.259

H-systems = observability, diagnosability, and predictability of hybrid dynamical systems /
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505 0 $a Chapter 1. Introduction -- Chapter 2. H-systems -- Chapter 3. Discrete Structure of H-systems and Background on Finite State Machines -- Chapter 4. Observability, Diagnosability and Predictability of Finite State Machines -- Chapter 5. Extending Diagnosability Properties for Finite State Machines -- Chapter 6. Observability of H-systems -- Chapter 7.Continuous Dynamics Distinguishability -- Chapter 8. Enriching Discrete Information in H-systems -- Chapter 9. Observability Characterization for H-systems -- Chapter 10. Relaxing the Observability Notion -- Chapter 11. Diagnosability and Predictability for H-systems -- Chapter 12. Observer Design for LH-systems -- Chapter 13. Some Applications to Automotive Control -- Index.
520 $a 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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