This paper presents a stable on-line adaptive identification technique for the identification of finitedimensional dynamical models of dynamically positioned underwater robotic vehicles. A direct comparison of this method to a conventional, off-line, least-squares method is presented. Using experimental data obtained using the JHU Remotely Operated Vehicle, both methods are employed to develop ...

The objectives of this study were to assess the genotype (G) by environment (E) interaction of grain yield of durum wheat(Triticum durum Desf.) based on parametric models, additive main effects and multiplicative interaction (AMMI) and joint linear regression models; and compare the relative efficiency of the two models in explaining the GE effects. Twenty-three genotypes were evaluated across ...

Structural and parametric identification of the nonlinear systems with a closed cycle on the set of continuous block-oriented models with feedback is considered. The method of the structural identification in the steady state based on the observation of the system's input and output variables at the input periodic influences is proposed. The solution of the parameter identification problems, wh...

The program ”Filtering and Identification Tool” designed for MATLAB provides an easy to handle tool for linear system identification of continuous time domain systems. But also discrete time models may be identified. The only property the process model must fulfill is that it has to be linear in the parameters. A graphical user interface guides the research engineer through all steps. As most o...

a study to evaluate the reproductive performance of abergelle goat was carried out at sekota district of amhara national regional state. on-farm flocks from two peasant associations were monitored for two years to collect data. data collected included identification number of doe and kid, birth / kidding date, kid birth weight, sex of kid, post partum doe weight, litter size, parity of doe. dat...

An analysis of the system identification methods have been carried out and a new alternative approach is proposed in order to estimate models for heave, pitch and roll dynamics of a high speed craft. As starting point, a first approach resolves the identification subject as an optimization problem to fit the best model, and uses genetic algorithms and nonlinear least squares with constraints me...

This paper investigates the use of a fuzzy method as a tool for model identification of a non linear and multivariable system when the measurement data is available. In fact, the use of fuzzy clustering facilitates automatic generation of Takagi-Sugeno rules and its antecedent parameters. After the determination of the consequent parameters, these are adapted by a recursive least squares algori...

The distribution of gluten and starch in wheat flour dough influences qualities of bread such as texture, and a method to visualize these distributions easily, accurately, and nondestructively would be of great value. The objective of this study was to develop an imaging method that visualizes the precise quantity of these two constituents, using the Fluorescence Fingerprint (FF). The FF is a s...