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Analysis of Nonlinear Systems with Stochastic Input and Stochastic Parameters

✍ Scribed by Y.H. Ku; T.S. Lin


Publisher
Elsevier Science
Year
1971
Tongue
English
Weight
1014 KB
Volume
292
Category
Article
ISSN
0016-0032

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✦ Synopsis


This paper gives an extension of the Volterra-functional method to the analysis of nonlinear systems with both stochastic iqut and stochastic parameters. In Section II, $rst-order linear systems with stochastic input and stochastic parameter are analyzed. Certain desnitions and symbolic relations are established. A special example in which the stochastic input and the stochastic parameter are closely related is given in Appendix I. Section III deals with the analysis of @s&order nonlinear systems with both stochastic input and stochastic parameter, by means of the Volterra-functional method. A simpler analysis by extension of the Transform-ensemble method is given in Appendix II. Section IV presents the detailed analysis of nonlinear stochastic systems with four illustrative examples. The analysis can be extended to a class of nonlinear stochastic systems with higher-order linear plants with constant or time-varying parameters.


πŸ“œ SIMILAR VOLUMES


On the analysis of nonlinear stochastic
✍ Y.H. Ku πŸ“‚ Article πŸ“… 1982 πŸ› Elsevier Science 🌐 English βš– 607 KB

A comparison is given of two exact methods for the analysis of nonlinear systems with stochastic input and stochastic parameters: the Taylor-Cauchy Transform method and the Volterra-Wiener Functional method. The final results check with each other. Examples are provided.