Response Analysis of a Nonlinear System Subjected to Combined Excitation of White Noise and Random Train of Impulses
Koji Kimura, Koji Suda
Abstract
Open-access reader
Koji Kimura, Koji Suda
Abstract
Open-access reader
Probability distribution of stationary responses of a nonlinear system subjected to a combined excitation of white noise and random train of impulses is analyzed. White noise and impulses are independent processes. The response distributions are obtained by employing moment equations approach and Gaussian sum approximation, which expresses the probability density function in terms of weighted sum of several Gaussian probability density functions. In the illustrative example, the response distributions of a Duffing oscillator are calculated and compared with simulation results. The effects of impulses upon a tail of these distributions are clarified.
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Probability distribution of stationary responses of a nonlinear system subjected to a combined excitation of white noise and random train of impulses is analyzed. White noise and impulses are independent processes. The response distributions are obtained by employing moment equations approach and Gaussian sum approximation, which expresses the probability density function in terms of weighted sum of several Gaussian probability density functions. In the illustrative example, the response distributions of a Duffing oscillator are calculated and compared with simulation results. The effects of impulses upon a tail of these distributions are clarified.
Key concepts: White noise, Probability density function, Duffing equation, Nonlinear system, Additive white Gaussian noise, Moment-generating function, Moment (physics), Mathematics