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Modeling, Identification and Simulation of Dynamical Systems
Modeling, Identification and Simulation of Dynamical Systems
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A01=A. C. van der Klauw
A01=P. P. J. van den Bosch
advanced numerical methods
Algebraic Loop
ARX Model
Author_A. C. van der Klauw
Author_P. P. J. van den Bosch
Autocovariance Function
BDF Method
black-box modeling
Bond Graphs
Category=GPFC
Category=UGK
Category=UMZ
Category=UYD
Covariance Function
Cross-covariance Function
DFT
dynamical systems
engineering optimization methods
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
experimental system validation
Filtered Prediction Errors
Frequency Function
Frequency Response Analysis
Golden Section Method
Gradient Projection Method
Impulse Response
Input Signal
Integration Interval
Model Structure Selection
nonlinear optimization for engineering design
nonlinear system identification
Numerical Integration Methods
Ordinary Differential Equations
Output Error Model
parametric identification
physical modeling techniques
Quadratic Function
Reduced Gradient Method
Search Direction
simulation tools
Stochastic Signals
system dynamics analysis
True Transfer Function
Product details
- ISBN 9780849391811
- Weight: 612g
- Dimensions: 178 x 254mm
- Publication Date: 15 Jul 1994
- Publisher: Taylor & Francis Inc
- Publication City/Country: US
- Product Form: Hardback
This book gives an in-depth introduction to the areas of modeling, identification, simulation, and optimization. These scientific topics play an increasingly dominant part in many engineering areas such as electrotechnology, mechanical engineering, aerospace, and physics. This book represents a unique and concise treatment of the mutual interactions among these topics.
Techniques for solving general nonlinear optimization problems as they arise in identification and many synthesis and design methods are detailed. The main points in deriving mathematical models via prior knowledge concerning the physics describing a system are emphasized. Several chapters discuss the identification of black-box models. Simulation is introduced as a numerical tool for calculating time responses of almost any mathematical model. The last chapter covers optimization, a generally applicable tool for formulating and solving many engineering problems.
P.P.J. van den Bosch, A.C. van der Klauw
Modeling, Identification and Simulation of Dynamical Systems
€291.40
