๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

A coevolutionary algorithm for tyre model parameters identification

โœ Scribed by J. A. Cabrera; Antonio Ortiz; B. Estebanez; F. Nadal; A. Simon

Publisher
Springer-Verlag
Year
2009
Tongue
English
Weight
559 KB
Volume
41
Category
Article
ISSN
1615-1488

No coin nor oath required. For personal study only.

๐Ÿ“œ SIMILAR VOLUMES

Identification of a hysteresis model par
Identification of a hysteresis model parameters with genetic algorithms
โœ Krzysztof Chwastek; Jan Szczyglowski ๐Ÿ“‚ Article ๐Ÿ“… 2006 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 167 KB

The paper is concerned about the application of genetic algorithms to the estimation of magnetic hysteresis model parameters, based on the description of magnetization process proposed by Jiles and Atherton. The genetic algorithm approach has been applied to estimation of model parameters for two ma

A DUAL FITTING ALGORITHM FOR MODAL PARAM
A DUAL FITTING ALGORITHM FOR MODAL PARAMETERS IDENTIFICATION
โœ H.H. CHEN; F. XU ๐Ÿ“‚ Article ๐Ÿ“… 2003 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 133 KB

A dual fitting algorithm (DFA) for modal parameters identification is presented. The method is implemented in three steps: first, the coefficients of the Forsythe orthogonal polynomials for the rational fraction of the frequency response functions (FRFs) are obtained by fitting the experimental FRF

A clustering algorithm for fuzzy model i
A clustering algorithm for fuzzy model identification
โœ Jian-Qin Chen; Yu-Geng Xi; Zhong-Jun Zhang ๐Ÿ“‚ Article ๐Ÿ“… 1998 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 741 KB

The fuzzy model proposed by Takagi and Sugeno can represent highly nonlinear systems and is widely used for the representation of fuzzy rules. In this paper, the model is firstly modified to make its identification easier. Based on the fuzzy c-partition space, four criteria are proposed for optimiza