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contributor authorJulie J. Parish
contributor authorAndrew J. Sinclair
contributor authorJohn E. Hurtado
date accessioned2017-05-09T00:31:53Z
date available2017-05-09T00:31:53Z
date copyrightJuly, 2009
date issued2009
identifier issn1555-1415
identifier otherJCNDDM-25686#031002_1.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/140064
description abstractNonlinear equations of motion are often linearized, especially for stability analysis and control design applications. Traditionally, the full nonlinear equations are formed and then linearized about the desired equilibrium configuration using methods such as Taylor series expansions. However, it has been shown that the quadratic form of the Lagrangian function can be used to directly linearize the equations of motion for discrete dynamical systems. This procedure is extended to directly generate linearized equations of motion for both continuous and hybrid dynamical systems. The results presented require only velocity-level kinematics to form the Lagrangian and find equilibrium configuration(s) for the system. A set of selected partial derivatives of the Lagrangian are then computed and used to directly construct the linearized equations of motion about the equilibrium configuration of interest, without first generating the entire nonlinear equations of motion. Given an equilibrium configuration of interest, the directly constructed linearized equations of motion allow one to bypass first forming the full nonlinear governing equations for the system. Examples are presented to illustrate the method for both continuous and hybrid systems.
publisherThe American Society of Mechanical Engineers (ASME)
titleDirect Linearization of Continuous and Hybrid Dynamical Systems
typeJournal Paper
journal volume4
journal issue3
journal titleJournal of Computational and Nonlinear Dynamics
identifier doi10.1115/1.3124092
journal fristpage31002
identifier eissn1555-1423
keywordsEquilibrium (Physics)
keywordsEquations of motion
keywordsEquations AND Dynamic systems
treeJournal of Computational and Nonlinear Dynamics:;2009:;volume( 004 ):;issue: 003
contenttypeFulltext


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