H-Systems: Observability Diagnosability and Predictability of Hybrid Dynamical Systems ebook

Name: H-Systems: Observability Diagnosability and Predictability of Hybrid Dynamical Systems ebook
SKU: GC-9149391672
Availability: InStock

$26.00

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 is written by Elena De Santis; Maria Domenica Di Benedetto and published by Springer. ISBNs for H-Systems are 9783031204470, 3031204476 and the print ISBNs are 9783031204463, 3031204468.

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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 is written by Elena De Santis; Maria Domenica Di Benedetto and published by Springer. ISBNs for H-Systems are 9783031204470, 3031204476 and the print ISBNs are 9783031204463, 3031204468.