Spectral density of first order Piecewise linear systems excited by white noise

<p>The Fokker-Planck (FP) equation is used to develop a general method for finding the spectral density for a class of randomly excited first order systems. This class consists of systems satisfying stochastic differential equations of form ẋ + f(x) = m/Ʃ/j = 1 h<sub>j</sub>(x)n&...

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Main Author: Atkinson, John David
Format: Others
Published: 1967
Online Access:https://thesis.library.caltech.edu/9263/1/Atkinson_jd_1967.pdf
Atkinson, John David (1967) Spectral density of first order Piecewise linear systems excited by white noise. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/V6YX-7864. https://resolver.caltech.edu/CaltechTHESIS:11022015-090737162 <https://resolver.caltech.edu/CaltechTHESIS:11022015-090737162>
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spelling ndltd-CALTECH-oai-thesis.library.caltech.edu-92632019-12-22T03:09:52Z Spectral density of first order Piecewise linear systems excited by white noise Atkinson, John David <p>The Fokker-Planck (FP) equation is used to develop a general method for finding the spectral density for a class of randomly excited first order systems. This class consists of systems satisfying stochastic differential equations of form ẋ + f(x) = m/Ʃ/j = 1 h<sub>j</sub>(x)n<sub>j</sub>(t) where f and the h<sub>j</sub> are piecewise linear functions (not necessarily continuous), and the n<sub>j</sub> are stationary Gaussian white noise. For such systems, it is shown how the Laplace-transformed FP equation can be solved for the transformed transition probability density. By manipulation of the FP equation and its adjoint, a formula is derived for the transformed autocorrelation function in terms of the transformed transition density. From this, the spectral density is readily obtained. The method generalizes that of Caughey and Dienes, J. Appl. Phys., <u>32</u>.11.</p> <p>This method is applied to 4 subclasses: (1) m = 1, h<sub>1</sub> = const. (forcing function excitation); (2) m = 1, h<sub>1</sub> = f (parametric excitation); (3) m = 2, h<sub>1</sub> = const., h<sub>2</sub> = f, n<sub>1</sub> and n<sub>2</sub> correlated; (4) the same, uncorrelated. Many special cases, especially in subclass (1), are worked through to obtain explicit formulas for the spectral density, most of which have not been obtained before. Some results are graphed. </p> <p>Dealing with parametrically excited first order systems leads to two complications. There is some controversy concerning the form of the FP equation involved (see Gray and Caughey, J. Math. Phys., <u>44</u>.3); and the conditions which apply at irregular points, where the second order coefficient of the FP equation vanishes, are not obvious but require use of the mathematical theory of diffusion processes developed by Feller and others. These points are discussed in the first chapter, relevant results from various sources being summarized and applied. Also discussed is the steady-state density (the limit of the transition density as t → ∞).</p> 1967 Thesis NonPeerReviewed application/pdf https://thesis.library.caltech.edu/9263/1/Atkinson_jd_1967.pdf https://resolver.caltech.edu/CaltechTHESIS:11022015-090737162 Atkinson, John David (1967) Spectral density of first order Piecewise linear systems excited by white noise. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/V6YX-7864. https://resolver.caltech.edu/CaltechTHESIS:11022015-090737162 <https://resolver.caltech.edu/CaltechTHESIS:11022015-090737162> https://thesis.library.caltech.edu/9263/
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description <p>The Fokker-Planck (FP) equation is used to develop a general method for finding the spectral density for a class of randomly excited first order systems. This class consists of systems satisfying stochastic differential equations of form ẋ + f(x) = m/Ʃ/j = 1 h<sub>j</sub>(x)n<sub>j</sub>(t) where f and the h<sub>j</sub> are piecewise linear functions (not necessarily continuous), and the n<sub>j</sub> are stationary Gaussian white noise. For such systems, it is shown how the Laplace-transformed FP equation can be solved for the transformed transition probability density. By manipulation of the FP equation and its adjoint, a formula is derived for the transformed autocorrelation function in terms of the transformed transition density. From this, the spectral density is readily obtained. The method generalizes that of Caughey and Dienes, J. Appl. Phys., <u>32</u>.11.</p> <p>This method is applied to 4 subclasses: (1) m = 1, h<sub>1</sub> = const. (forcing function excitation); (2) m = 1, h<sub>1</sub> = f (parametric excitation); (3) m = 2, h<sub>1</sub> = const., h<sub>2</sub> = f, n<sub>1</sub> and n<sub>2</sub> correlated; (4) the same, uncorrelated. Many special cases, especially in subclass (1), are worked through to obtain explicit formulas for the spectral density, most of which have not been obtained before. Some results are graphed. </p> <p>Dealing with parametrically excited first order systems leads to two complications. There is some controversy concerning the form of the FP equation involved (see Gray and Caughey, J. Math. Phys., <u>44</u>.3); and the conditions which apply at irregular points, where the second order coefficient of the FP equation vanishes, are not obvious but require use of the mathematical theory of diffusion processes developed by Feller and others. These points are discussed in the first chapter, relevant results from various sources being summarized and applied. Also discussed is the steady-state density (the limit of the transition density as t → ∞).</p>
author Atkinson, John David
spellingShingle Atkinson, John David
Spectral density of first order Piecewise linear systems excited by white noise
author_facet Atkinson, John David
author_sort Atkinson, John David
title Spectral density of first order Piecewise linear systems excited by white noise
title_short Spectral density of first order Piecewise linear systems excited by white noise
title_full Spectral density of first order Piecewise linear systems excited by white noise
title_fullStr Spectral density of first order Piecewise linear systems excited by white noise
title_full_unstemmed Spectral density of first order Piecewise linear systems excited by white noise
title_sort spectral density of first order piecewise linear systems excited by white noise
publishDate 1967
url https://thesis.library.caltech.edu/9263/1/Atkinson_jd_1967.pdf
Atkinson, John David (1967) Spectral density of first order Piecewise linear systems excited by white noise. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/V6YX-7864. https://resolver.caltech.edu/CaltechTHESIS:11022015-090737162 <https://resolver.caltech.edu/CaltechTHESIS:11022015-090737162>
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