Measurements, Modelling and Simulation of Dynamic Systems
(Sprache: Englisch)
A close look at analog-to-digital systems offers insight on dynamic measurement methods in this concise introduction. The construction and properties of measurement sensors are analyzed, as these represent the primary components for all measurement systems.
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A close look at analog-to-digital systems offers insight on dynamic measurement methods in this concise introduction. The construction and properties of measurement sensors are analyzed, as these represent the primary components for all measurement systems.
Klappentext zu „Measurements, Modelling and Simulation of Dynamic Systems “
This book discusses an analog-to-digital system intended to dynamic measurement, particularly for non-electrical quantities. The construction and properties of measurement sensors are analyzed in detail, as these represent the primary components for all measurement systems. Procedures for signal noise reduction are presented based on the time window function and a digital Kalman filter. Also covered in this book are the methods of modeling, model development and identification procedures on the basis of measurement data. The theory of maximum errors is applied in order to determine mapping errors of models in case of non-standard input signals. This is based on signals maximizing the chosen error functional. The existence and attainability of such signals is proved and the algorithms for their determination are presented.
Detailed calculation methods, based on dedicated numerical procedures are demonstrated, which allow the integral-square error as well as the absolute error to be determined.
The problems presented in the book are relevant to a wide range of applications where there is a requirement to determine the accuracy of indeterminate dynamic signals such as occurs in the fields of engineering, medicine, biology, physics etc.
This book will interest researchers, scientists, engineers and graduate students in many disciplines, who make use of measurements, modelling and computer simulation.
This book discusses an analog-to-digital system intended to dynamic measurement, particularly for non-electrical quantities. The construction and properties of measurement sensors are analyzed in detail, as these represent the primary components for all measurement systems. Procedures for signal noise reduction are presented based on the time window function and a digital Kalman filter. Also covered in this book are the methods of modeling, model development and identification procedures on the basis of measurement data.
The theory of maximum errors is applied in order to determine mapping errors of models in case of non-standard input signals. This is based on signals maximizing the chosen error functional. The existence and attainability of such signals is proved and the algorithms for their determination are presented.
Detailed calculation methods, based on dedicated numerical procedures are demonstrated, which allow the integral-square error as well as the absolute error to be determined.
The problems presented in the book are relevant to a wide range of applications where there is a requirement to determine the accuracy of indeterminate dynamic signals such as occurs in the fields of engineering, medicine, biology, physics etc.
This book will interest researchers, scientists, engineers and graduate students in many disciplines, who make use of measurements, modelling and computer simulation.
The theory of maximum errors is applied in order to determine mapping errors of models in case of non-standard input signals. This is based on signals maximizing the chosen error functional. The existence and attainability of such signals is proved and the algorithms for their determination are presented.
Detailed calculation methods, based on dedicated numerical procedures are demonstrated, which allow the integral-square error as well as the absolute error to be determined.
The problems presented in the book are relevant to a wide range of applications where there is a requirement to determine the accuracy of indeterminate dynamic signals such as occurs in the fields of engineering, medicine, biology, physics etc.
This book will interest researchers, scientists, engineers and graduate students in many disciplines, who make use of measurements, modelling and computer simulation.
Inhaltsverzeichnis zu „Measurements, Modelling and Simulation of Dynamic Systems “
- Introdcution to Measuring Systems- Sensors
- Methods of Noise Reduction
- Model Development
- Mapping Error
Bibliographische Angaben
- 2010, XII, 156 Seiten, Maße: 16,7 x 24 cm, Gebunden, Englisch
- Herausgegeben: Edward Layer, Krzysztof Tomczyk
- Verlag: Springer, Berlin
- ISBN-10: 3642045871
- ISBN-13: 9783642045875
- Erscheinungsdatum: 04.02.2010
Sprache:
Englisch
Rezension zu „Measurements, Modelling and Simulation of Dynamic Systems “
From the reviews:"This textbook gives a short introduction to measurements, mathematical modeling, and computer simulation of dynamic systems. The mathematical modeling of dynamic systems is mainly based on systems of linear ordinary differential equations. ... This book is divided into 5 chapters. ... mainly written for students and researchers in engineering disciplines, who are interested in measurements, mathematical modeling, and computer simulation of dynamic systems." (Manfred Tasche, Zentralblatt MATH, Vol. 1185, 2010)
Pressezitat
From the reviews:"This textbook gives a short introduction to measurements, mathematical modeling, and computer simulation of dynamic systems. The mathematical modeling of dynamic systems is mainly based on systems of linear ordinary differential equations. ... This book is divided into 5 chapters. ... mainly written for students and researchers in engineering disciplines, who are interested in measurements, mathematical modeling, and computer simulation of dynamic systems." (Manfred Tasche, Zentralblatt MATH, Vol. 1185, 2010)
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