Modelling of Simplified Dynamical Systems
β Scribed by Edward Layer DSc, PhD (auth.)
- Publisher
- Springer-Verlag Berlin Heidelberg
- Year
- 2002
- Tongue
- English
- Leaves
- 176
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
This book is addressed to scientists, engineers and student of engineering departments, who make use of modelling and computer simulation. Since more and more physical experiments are being replaced by computer simulations the use of mathematical models of various engineering systems has become an especially important area of research. The book is devoted to selected problems of various engineering domains, such as control, electrical engineering or electrical metrology. They are based on different mathematical fields such as matrix theory, differential equations, function approximation with applications in dynamic modelling, methods of simplifying high-order models determining mapping errors of simplified models, their optimization and the synthesis of suitable input signals. The book is easy to read and understand because all the needed mathematical transformations and formula are derived and explained by means of the examples enclosed.
β¦ Table of Contents
Front Matter....Pages I-VI
Introduction....Pages 1-2
Mathematical Models....Pages 3-36
System Parameters....Pages 37-42
Model Synthesis....Pages 43-83
Simplification of Models....Pages 84-123
Maximum Mapping Errors....Pages 124-142
Signals Maximising the Integral-Square-Error in the Process of Models Optimisation....Pages 143-163
Back Matter....Pages 165-171
β¦ Subjects
Appl.Mathematics/Computational Methods of Engineering;Vibration, Dynamical Systems, Control;Theoretical, Mathematical and Computational Physics;Systems Theory, Control
π SIMILAR VOLUMES
Data-driven dynamical systems is a burgeoning fieldβit connects how measurements of nonlinear dynamical systems and/or complex systems can be used with well-established methods in dynamical systems theory. This is a critically important new direction because the governing equations of many problems
The ease of use of the programs in the application to ever more complex cases of disease and pestilence. The lack of need on the part of the student or modelers of mathematics beyond algebra and the lack of need of any prior computer programming experience. The surprising insights that can be gained
<p>Dynamic Modeling of Environmental Systems is a primer on using models to understand environmental problems. With their many natural, economic, political, and technical aspects, environmental problems require a systems approach. This book provides an introduction to modeling concepts and applicati