Using the C language to approximate non-linear stochastic systems
โ Scribed by Sergio E. Serrano
- Publisher
- Elsevier Science
- Year
- 1990
- Weight
- 696 KB
- Volume
- 12
- Category
- Article
- ISSN
- 0141-1195
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
Methods for using fourth order spectral quantities to estimate the unknown parameters in non-linear, randomly excited dynamic systems are developed. Attention is focused on the case where only the response is measurable and the excitation is unmeasurable and known only in terms of a stochastic proce
It is known that an efficient approach for modal identification of a weakly non-linear multidimensional second-order dynamical system consists of using a model based on equivalent stochastic linearisation with constant coefficients. Such a model leads to a good identification of the total power of t
A new approximate technique developed by Mansour and Hussein [1] has been used to solve a non-linear differential equation model that describes the underdamped and the overdamped motion of systems subjected to step function excitation. The analytical results obtained in this work have been compared