Analytical System Dynamics Modeling and Simulation /

Analytical System Dynamics: Modeling and Simulation combines results from analytical mechanics and system dynamics to develop an approach to modeling constrained multidiscipline dynamic systems. This combination yields a modeling technique based on the energy method of Lagrange, which in turn, resul...

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Bibliographic Details
Main Author: Fabien, Brian (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Boston, MA : Springer US, 2009.
Subjects:
Online Access:Full Text via HEAL-Link
Description
Summary:Analytical System Dynamics: Modeling and Simulation combines results from analytical mechanics and system dynamics to develop an approach to modeling constrained multidiscipline dynamic systems. This combination yields a modeling technique based on the energy method of Lagrange, which in turn, results in a set of differential-algebraic equations that are suitable for numerical integration. Using the modeling approach presented in this book enables one to model and simulate systems as diverse as a six-link, closed-loop mechanism or a transistor power amplifier. Drawing upon years of practical experience and using numerous examples and applications Brian Fabien discusses: Lagrange's equation of motion starting with the First Law of Thermodynamics, rather than the traditional Hamilton's principle Treatment of the kinematic/structural analysis of machines and mechanisms, as well as the structural analysis of electrical/fluid/thermal networks Various aspects of modeling and simulating dynamic systems using a Lagrangian approach with more than 125 worked examples Simulation results for various models developed using MATLAB Analytical System Dynamics: Modeling and Simulation will be of interest to students, researchers and practicing engineers who wish to use a multidisciplinary approach to dynamic systems incorporating material and examples from electrical systems, fluid systems and mixed technology systems that carries the derivation of differential equations to a final form that can be used for simulation.
Physical Description:XI, 326 p. online resource.
ISBN:9780387856056