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Hybrid dynamical systems: observation and control
This book is a collection of contributions defining the state of current knowledge and new trends in hybrid systems – systems involving both continuous dynamics and discrete events – as described by the work of several well-known groups of researchers. Hybrid Dynamical Systems presents theoretical a...
Autores principales: | , |
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Lenguaje: | eng |
Publicado: |
Springer
2015
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Materias: | |
Acceso en línea: | https://dx.doi.org/10.1007/978-3-319-10795-0 http://cds.cern.ch/record/1968699 |
_version_ | 1780944671703302144 |
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author | Djemai, Mohamed Defoort, Michael |
author_facet | Djemai, Mohamed Defoort, Michael |
author_sort | Djemai, Mohamed |
collection | CERN |
description | This book is a collection of contributions defining the state of current knowledge and new trends in hybrid systems – systems involving both continuous dynamics and discrete events – as described by the work of several well-known groups of researchers. Hybrid Dynamical Systems presents theoretical advances in such areas as diagnosability, observability and stabilization for various classes of system. Continuous and discrete state estimation and self-triggering control of nonlinear systems are advanced. The text employs various methods, among them, high-order sliding modes, Takagi–Sugeno representation and sampled-data switching to achieve its ends. The many applications of hybrid systems from power converters to computer science are not forgotten; studies of flexible-joint robotic arms and – as representative biological systems – the behaviour of the human heart and vasculature, demonstrate the wide-ranging practical significance of control in hybrid systems. The cross-disciplinary origins of study in hybrid systems are evident. Academic researchers and graduate students interested in hybrid and switched systems need look no further than Hybrid Dynamical Systems for a single source which will bring them up to date with work in this area from around the world. |
id | cern-1968699 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2015 |
publisher | Springer |
record_format | invenio |
spelling | cern-19686992021-04-21T20:50:09Zdoi:10.1007/978-3-319-10795-0http://cds.cern.ch/record/1968699engDjemai, MohamedDefoort, MichaelHybrid dynamical systems: observation and controlEngineeringThis book is a collection of contributions defining the state of current knowledge and new trends in hybrid systems – systems involving both continuous dynamics and discrete events – as described by the work of several well-known groups of researchers. Hybrid Dynamical Systems presents theoretical advances in such areas as diagnosability, observability and stabilization for various classes of system. Continuous and discrete state estimation and self-triggering control of nonlinear systems are advanced. The text employs various methods, among them, high-order sliding modes, Takagi–Sugeno representation and sampled-data switching to achieve its ends. The many applications of hybrid systems from power converters to computer science are not forgotten; studies of flexible-joint robotic arms and – as representative biological systems – the behaviour of the human heart and vasculature, demonstrate the wide-ranging practical significance of control in hybrid systems. The cross-disciplinary origins of study in hybrid systems are evident. Academic researchers and graduate students interested in hybrid and switched systems need look no further than Hybrid Dynamical Systems for a single source which will bring them up to date with work in this area from around the world.Springeroai:cds.cern.ch:19686992015 |
spellingShingle | Engineering Djemai, Mohamed Defoort, Michael Hybrid dynamical systems: observation and control |
title | Hybrid dynamical systems: observation and control |
title_full | Hybrid dynamical systems: observation and control |
title_fullStr | Hybrid dynamical systems: observation and control |
title_full_unstemmed | Hybrid dynamical systems: observation and control |
title_short | Hybrid dynamical systems: observation and control |
title_sort | hybrid dynamical systems: observation and control |
topic | Engineering |
url | https://dx.doi.org/10.1007/978-3-319-10795-0 http://cds.cern.ch/record/1968699 |
work_keys_str_mv | AT djemaimohamed hybriddynamicalsystemsobservationandcontrol AT defoortmichael hybriddynamicalsystemsobservationandcontrol |