this paper presents a theoretical approach to implementation of the “multi-realization of nonlinear mimo systems”. this method aims to find state-variable realization for a set of systems, sharing as many parameters as possible. in this paper a special nonlinear multi-realization problem, namely the multi-realization of feedback linearizable nonlinear systems is considered and an algorithm for ...

this paper presents a discrete-time robust control for electrically driven robot manipulators in the task space. a novel discrete-time model-free control law is proposed by employing an adaptive fuzzy estimator for the compensation of the uncertainty including model uncertainty, external disturbances and discretization error. parameters of the fuzzy estimator are adapted to minimize the estimat...

The genetic structure of the “Badda” common bean cultivated at Polizzi Generosa, a village of Sicily (Palermo, Italy), was investigated using biochemical and molecular markers. Seed storage protein analysis by using SDS-PAGE, confirmed the attribution to the Andean gene pool. Simple Sequence Repeats (SSR) (or microsatellite) molecular markers provided useful information on genetic variation and...

In this study, a Mexican Hat Wavelet scalogram neural genetic network approach is proposed for signal classification. The Wavelet Scalogram network uses a Levenberg-Marquardt multilayer feedforward neural network-genetic algorithm hybrid structure, and its input layer constitutes the feature extraction part, whereas the hidden layer and output layer constitute the signal classification part. Fr...

The aim of this research is to improve an existing low-cost and simple but consistent culturing technique for measuring the adsorption of grape skin pigments on yeasts, comprising: (i) growing yeasts in Petri dishes on chromogenic grape-skin-based medium, (ii) photographing the yeast biomass, (iii) measuring its red, green, and blue colour components, and (iv) performing the statistical analysi...

In this paper, MLP network with sliding-mode controller and neural control is designed to the joint position control of two-link robot manipulators for periodic motion and predefined trajectory tracking control. Because the nonlinear nature robot, first the nonlinear and robust method sliding mode as a control theory for the system is chosen. Chattering phenomenon is always a problem of sliding...

The preservation of epidemiological information is challenging in several aspects, since this is both a data-intensive and multidisciplinary subject, with large amounts of data spanning several domains of knowledge. We present, as a case study, the Epidemic Marketplace (EM), a platform dedicated to the preservation of epidemiological resources. To ensure integrity of the data, the EM uses a met...

in this paper, controlling the gyros with linear plus cubic damping is considered. hence, an adaptive control algorithm is proposed to overcome the uncertainties in model parameters and the chaotic behavior of gyroscopes. it is noted that for general applications dynamic model coefficient of gyros is not precisely determined, on the other hand, with respect to a particular coefficient gyroscope...

accurate and correct performance of controller in cruise control systems is important. hence, in such systems, controller should optimize itself against noise and probable changes in system dynamic. as a matter of fact, in this article three approaches have been conducted to-ward this purpose: mit, direct estimation and indirect estimation. these approaches are used as controllers to track refe...