The perturbation method is applied to determine approximately the mean, variance, skewness and kurtosis of the transient and stationary response of nonlinear systems driven by polynomials of ยฎltered Poisson processes. The analysis is based on the classical perturbation method, the Ito ร differentiat
Linear systems with polynomials of filtered Poisson processes
โ Scribed by Mircea Grigoriu; Federico Waisman
- Publisher
- Elsevier Science
- Year
- 1997
- Tongue
- English
- Weight
- 477 KB
- Volume
- 12
- Category
- Article
- ISSN
- 0266-8920
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โฆ Synopsis
Moment equations are calculated exactly for the response of linear systems subjected polynomials of filtered Poisson processes. The It6 formula for stochastic differential equations driven by Poisson white noise is applied to derive moment equations. It is shown that the set of moment equations is closed. The proposed method is used to calculate moments up to the fourth order for the response of two linear systems subjected to quadratic forms of filtered Poisson processes. Results by Monte Carlo simulations are also presented for comparison.
๐ SIMILAR VOLUMES
The higher order statistics of the response of linear systems excited by polynomials of ยฎltered Poisson pulses are evaluated by means of knowledge of the ยฎrst order statistics and without any further integration. This is made possible by a coordinate transformation which replaces the original system
For i.i.d. Poisson point processes with intensity measure A an estimator for 0f(A)=f f dA is introduced. Consistency as well as rates for the convergence are established. An Edgeworth-type expansion for the distribution function is obtained. The estimator is asymptotically efficient in the sense of