H-Systems [electronic resource] : Observability, Diagnosability, and Predictability of Hybrid Dynamical Systems / by Elena De Santis, Maria Domenica Di Benedetto.

Por: De Santis, Elena [author.]Colaborador(es): Di Benedetto, Maria Domenica [author.] | SpringerLink (Online service)Tipo de material: TextoTextoSeries Communications and Control EngineeringEditor: Cham : Springer International Publishing : Imprint: Springer, 2023Edición: 1st ed. 2023Descripción: XXI, 293 p. 120 illus., 62 illus. in color. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9783031204470Tema(s): Control engineering | System theory | Control theory | Transportation engineering | Traffic engineering | Computers, Special purpose | Industrial engineering | Production engineering | Control and Systems Theory | Systems Theory, Control | Transportation Technology and Traffic Engineering | Special Purpose and Application-Based Systems | Industrial and Production EngineeringFormatos físicos adicionales: Printed edition:: Sin título; Printed edition:: Sin título; Printed edition:: Sin títuloClasificación CDD: 629.8312 | 003 Clasificación LoC:TJ212-225Recursos en línea: Libro electrónicoTexto
Contenidos:
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.
En: Springer Nature eBookResumen: 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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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.

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