Identification of non-linear stress–strain–time relationship of soils using genetic algorithm
✍ Scribed by Xia-Ting Feng; Shaojun Li; Hongjian Liao; Chengxiang Yang
- Publisher
- John Wiley and Sons
- Year
- 2002
- Tongue
- English
- Weight
- 417 KB
- Volume
- 26
- Category
- Article
- ISSN
- 0363-9061
- DOI
- 10.1002/nag.226
No coin nor oath required. For personal study only.
📜 SIMILAR VOLUMES
This paper introduces a new fuzzy control technique, which belongs to the popular family of control algorithms, called Model Predictive Controllers. The method is based on a dynamic fuzzy model of the process to be controlled, which is used for predicting the future behavior of the output variables.
In this paper a modi"ed version of the standard least-squares algorithm is presented. The aim is to use the proposed modi"ed LS algorithm in linear time-varying systems. The proposed modi"cation involves the addition of extra terms to both the parameter estimates' and the covariance's update laws. W
A new method based on time}frequency representations is presented for identifying the non-linear modal parameters of a multi-degree-of-freedom non-linear lightly damped mechanical system. The coupled non-linear modes are "rst introduced. It is shown that, by using the coupled non-linear modes, the f