Bounded Dynamic Stochastic Systems: Modelling and Control
Over the past decades, although stochastic system control has been studied intensively within the field of control engineering, all the modelling and control strategies developed so far have concentrated on the performance of one or two output properties of the system, such as minimum-variance contr...
Gespeichert in:
| 1. Verfasser: | |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
London
Springer London
2000
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| Schriftenreihe: | Advances in Industrial Control
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| Schlagworte: | |
| Online-Zugang: | FHI01 BTU01 Volltext |
| Zusammenfassung: | Over the past decades, although stochastic system control has been studied intensively within the field of control engineering, all the modelling and control strategies developed so far have concentrated on the performance of one or two output properties of the system, such as minimum-variance control or mean-value control. The general assumption used in the formulation of modelling and control strategies is that the distribution of the random signals involved is Gaussian. In this book, a set of new approaches for the control of the output probability density function of stochastic dynamic systems (those subjected to any bounded random inputs), has been developed. In this context, the purpose of control system design becomes the selection of a control signal that makes the shape of the system output's p.d.f. as close as possible to a given distribution. The book contains material on the subjects of: • Control of single-input single-output and multiple-input multiple-output stochastic systems. • Stable adaptive control of stochastic distributions. • Model reference adaptive control. • Control of nonlinear dynamic stochastic systems. • Condition monitoring of bounded stochastic distributions. • Control algorithm design. • Singular stochastic systems. A new representation of dynamic stochastic systems is produced by using B-spline functions to describe the output p.d.f |
| Beschreibung: | 1 Online-Ressource (XVI, 176 p) |
| ISBN: | 9781447104810 |
| DOI: | 10.1007/978-1-4471-0481-0 |
Internformat
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Datensatz im Suchindex
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| author | Wang, Hong |
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| author_sort | Wang, Hong |
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| discipline | Mess-/Steuerungs-/Regelungs-/Automatisierungstechnik / Mechatronik |
| doi_str_mv | 10.1007/978-1-4471-0481-0 |
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| id | DE-604.BV045148748 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T08:10:02Z |
| institution | BVB |
| isbn | 9781447104810 |
| language | English |
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| physical | 1 Online-Ressource (XVI, 176 p) |
| psigel | ZDB-2-ENG ZDB-2-ENG_2000/2004 ZDB-2-ENG ZDB-2-ENG_2000/2004 ZDB-2-ENG ZDB-2-ENG_Archiv |
| publishDate | 2000 |
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| publisher | Springer London |
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| series2 | Advances in Industrial Control |
| spelling | Wang, Hong Verfasser aut Bounded Dynamic Stochastic Systems Modelling and Control by Hong Wang London Springer London 2000 1 Online-Ressource (XVI, 176 p) txt rdacontent c rdamedia cr rdacarrier Advances in Industrial Control Over the past decades, although stochastic system control has been studied intensively within the field of control engineering, all the modelling and control strategies developed so far have concentrated on the performance of one or two output properties of the system, such as minimum-variance control or mean-value control. The general assumption used in the formulation of modelling and control strategies is that the distribution of the random signals involved is Gaussian. In this book, a set of new approaches for the control of the output probability density function of stochastic dynamic systems (those subjected to any bounded random inputs), has been developed. In this context, the purpose of control system design becomes the selection of a control signal that makes the shape of the system output's p.d.f. as close as possible to a given distribution. The book contains material on the subjects of: • Control of single-input single-output and multiple-input multiple-output stochastic systems. • Stable adaptive control of stochastic distributions. • Model reference adaptive control. • Control of nonlinear dynamic stochastic systems. • Condition monitoring of bounded stochastic distributions. • Control algorithm design. • Singular stochastic systems. A new representation of dynamic stochastic systems is produced by using B-spline functions to describe the output p.d.f Engineering Control Industrial Chemistry/Chemical Engineering Control, Robotics, Mechatronics Probability Theory and Stochastic Processes Chemical engineering Probabilities Control engineering Robotics Mechatronics Stochastische Kontrolltheorie (DE-588)4263657-7 gnd rswk-swf B-Spline (DE-588)4384798-5 gnd rswk-swf Stochastische Kontrolltheorie (DE-588)4263657-7 s B-Spline (DE-588)4384798-5 s 1\p DE-604 Erscheint auch als Druck-Ausgabe 9781447111511 https://doi.org/10.1007/978-1-4471-0481-0 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Wang, Hong Bounded Dynamic Stochastic Systems Modelling and Control Engineering Control Industrial Chemistry/Chemical Engineering Control, Robotics, Mechatronics Probability Theory and Stochastic Processes Chemical engineering Probabilities Control engineering Robotics Mechatronics Stochastische Kontrolltheorie (DE-588)4263657-7 gnd B-Spline (DE-588)4384798-5 gnd |
| subject_GND | (DE-588)4263657-7 (DE-588)4384798-5 |
| title | Bounded Dynamic Stochastic Systems Modelling and Control |
| title_auth | Bounded Dynamic Stochastic Systems Modelling and Control |
| title_exact_search | Bounded Dynamic Stochastic Systems Modelling and Control |
| title_full | Bounded Dynamic Stochastic Systems Modelling and Control by Hong Wang |
| title_fullStr | Bounded Dynamic Stochastic Systems Modelling and Control by Hong Wang |
| title_full_unstemmed | Bounded Dynamic Stochastic Systems Modelling and Control by Hong Wang |
| title_short | Bounded Dynamic Stochastic Systems |
| title_sort | bounded dynamic stochastic systems modelling and control |
| title_sub | Modelling and Control |
| topic | Engineering Control Industrial Chemistry/Chemical Engineering Control, Robotics, Mechatronics Probability Theory and Stochastic Processes Chemical engineering Probabilities Control engineering Robotics Mechatronics Stochastische Kontrolltheorie (DE-588)4263657-7 gnd B-Spline (DE-588)4384798-5 gnd |
| topic_facet | Engineering Control Industrial Chemistry/Chemical Engineering Control, Robotics, Mechatronics Probability Theory and Stochastic Processes Chemical engineering Probabilities Control engineering Robotics Mechatronics Stochastische Kontrolltheorie B-Spline |
| url | https://doi.org/10.1007/978-1-4471-0481-0 |
| work_keys_str_mv | AT wanghong boundeddynamicstochasticsystemsmodellingandcontrol |