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Analytical System Dynamics: Modeling and Simulation

by Brian Fabien
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Current price ₹11,017.00
Original price ₹16,949.00
Original price ₹16,949.00
Original price ₹16,949.00
(-35%)
₹11,017.00
Current price ₹11,017.00

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Book cover type: Paperback
  • ISBN13: 9781441946706
  • Binding: Paperback
  • Subject: N/A
  • Publisher: Springer
  • Publisher Imprint: Springer
  • Publication Date:
  • Pages: 326
  • Original Price: EUR 149.99
  • Language: English
  • Edition: N/A
  • Item Weight: 514 grams
  • BISAC Subject(s): Mechanical, Applied, and System Theory

From the Back Cover

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.

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