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Simulation dynamischer Systeme mit MATLAB und Simulink von Randal Allen und...-
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Standort: Southington, Connecticut, USA
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eBay-Artikelnr.:405365182458
Artikelmerkmale
- Artikelzustand
- ISBN
- 9781439836736
Über dieses Produkt
Product Identifiers
Publisher
CRC Press LLC
ISBN-10
1439836736
ISBN-13
9781439836736
eBay Product ID (ePID)
102945827
Product Key Features
Number of Pages
815 Pages
Publication Name
Simulation of Dynamic Systems with Matlab and Simulink
Language
English
Subject
Mechanics / General, Mathematical & Statistical Software, Computer Simulation, Electrical, Applied
Publication Year
2011
Type
Textbook
Subject Area
Mathematics, Computers, Technology & Engineering, Science
Format
Hardcover
Dimensions
Item Height
1.7 in
Item Weight
57.7 Oz
Item Length
10.3 in
Item Width
7 in
Additional Product Features
Edition Number
2
Intended Audience
College Audience
LCCN
2010-035461
Dewey Edition
22
Illustrated
Yes
Dewey Decimal
003.3
Edition Description
New Edition,Revised edition
Table Of Content
Mathematical Modeling Derivation of a Mathematical Model Difference Equations First Look at Discrete-Time Systems Case Study: Population Dynamics (Single Species) Continuous-Time Systems First-Order Systems Second-Order Systems Simulation Diagrams Higher-Order Systems State Variables Nonlinear Systems Case Study: Submarine Depth Control System Elementary Numerical Integration Discrete-Time System Approximation of a Continuous-Time Integrator Euler Integration Trapezoidal Integration Numerical Integration of First-Order and Higher Continuous-Time Systems Improvements to Euler Integration Case Study: Vertical Ascent of a Diver Linear Systems Analysis Laplace Transform Transfer Function Stability of Linear Time Invariant Continuous-Time Systems Frequency Response of LTI Continuous-Time Systems z-Transform z-Domain Transfer Function Stability of LTI Discrete-Time Systems Frequency Response of Discrete-Time Systems Control System Toolbox Case Study: Longitudinal Control of an Aircraft Case Study: Notch Filter for Electrocardiograph Waveform Simulink® Building a Simulink® Model Simulation of Linear Systems Algebraic Loops More Simulink® Blocks Subsystems Discrete-Time Systems MATLAB® and Simulink® Interface Hybrid Systems: Continuous- and Discrete-Time Components Monte Carlo Simulation Case Study: Pilot Ejection Case Study: Kalman Filtering Intermediate Numerical Integration Runge-Kutta (RK)--One-Step Methods Adaptive Techniques Multistep Methods Stiff Systems Lumped Parameter Approximation of Distributed Parameter Systems Systems with Discontinuities Case Study: Spread of an Epidemic Simulation Tools Steady-State Solver Optimization of Simulink® Models Linearization Adding Blocks to the Simulink® Library Browser Simulation Acceleration Advanced Numerical Integration Dynamic Errors (Characteristic Roots, Transfer Function) Stability of Numerical Integrators Multirate Integration Real-Time Simulation Additional Methods of Approximating Continuous-Time System Models Case Study: Lego Mindstorms NXT
Synopsis
..". a seminal text covering the simulation design and analysis of a broad variety of systems using two of the most modern software packages available today. ... particularly adept at] enabling students new to the field to gain a thorough understanding of the basics of continuous simulation in a single semester, and also provides] a more advanced treatment of the subject for researchers and simulation professionals." --From the Foreword by Chris Bauer, PhD, PE, CMSP Continuous-system simulation is an increasingly important tool for optimizing the performance of real-world systems, and a massive transformation has occurred in the application of simulation in fields ranging from engineering and physical sciences to medicine, biology, economics, and applied mathematics. As with most things, simulation is best learned through practice--but explosive growth in the field requires a new learning approach. A response to changes in the field, Simulation of Dynamic Systems with MATLAB(R) and Simulink(R), Second Edition has been extensively updated to help readers build an in-depth and intuitive understanding of basic concepts, mathematical tools, and the common principles of various simulation models for different phenomena. Includes an abundance of case studies, real-world examples, homework problems, and equations to develop a practical understanding of concepts Accomplished experts Harold Klee and Randal Allen take readers through a gradual and natural progression of important topics in simulation, introducing advanced concepts only after they construct complete examples using fundamental methods. Presented exercises incorporate MATLAB(R) and Simulink(R)--including access to downloadable M-files and model files--enabling both students and professionals to gain experience with these industry-standard tools and more easily design, implement, and adjust simulation models in their particular field of study. More universities are offering courses--as well as masters and Ph.D programs--in both continuous-time and discrete-time simulation, promoting a new interdisciplinary focus that appeals to undergraduates and beginning graduates from a wide range of fields. Ideal for such courses, this classroom-tested introductory text presents a flexible, multifaceted approach through which simulation can play a prominent role in validating system design and training personnel involved., "... a seminal text covering the simulation design and analysis of a broad variety of systems using two of the most modern software packages available today. ... particularly adept [at] enabling students new to the field to gain a thorough understanding of the basics of continuous simulation in a single semester, and [also provides] a more advanced treatment of the subject for researchers and simulation professionals." --From the Foreword by Chris Bauer, PhD, PE, CMSP Continuous-system simulation is an increasingly important tool for optimizing the performance of real-world systems, and a massive transformation has occurred in the application of simulation in fields ranging from engineering and physical sciences to medicine, biology, economics, and applied mathematics. As with most things, simulation is best learned through practice--but explosive growth in the field requires a new learning approach. A response to changes in the field, Simulation of Dynamic Systems with MATLAB® and Simulink®, Second Editionhas been extensively updated to help readers build an in-depth and intuitive understanding of basic concepts, mathematical tools, and the common principles of various simulation models for different phenomena. Includes an abundance of case studies, real-world examples, homework problems, and equations to develop a practical understanding of concepts Accomplished experts Harold Klee and Randal Allen take readers through a gradual and natural progression of important topics in simulation, introducing advanced concepts only after they construct complete examples using fundamental methods. Presented exercises incorporate MATLAB® and Simulink®--including access to downloadable M-files and model files--enabling both students and professionals to gain experience with these industry-standard tools and more easily design, implement, and adjust simulation models in their particular field of study. More universities are offering courses--as well as masters and Ph.D programs--in both continuous-time and discrete-time simulation, promoting a new interdisciplinary focus that appeals to undergraduates and beginning graduates from a wide range of fields. Ideal for such courses, this classroom-tested introductory text presents a flexible, multifaceted approach through which simulation can play a prominent role in validating system design and training personnel involved.
LC Classification Number
QA76.9.C65
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