Abstract There is an increasing gap between the policy cycle’s speed and that of technological social change. This becoming broader more prominent in robotics, is, movable machines perform tasks either automatically or with a degree autonomy. because current legislation was unprepared for machine learning autonomous agents. As result, law often lags behind does not adequately frame robot techno...

Designing an ontology that meets the needs of end-users, e.g., a medical team, is critical to support reasoning with data. Therefore, design should be driven by constant and efficient validation end-users needs. However, there not existing standard process in knowledge engineering guides required quality. There are several processes, which range from iterative sequential, but they fail ensure p...

This paper is concerned with a technique for solving Volterra integro-dierential equationsin the reproducing kernel Hilbert space. In contrast with the conventional reproducing kernelmethod, the Gram-Schmidt process is omitted here and satisfactory results are obtained.The analytical solution is represented in the form of series. An iterative method is given toobtain the...

This paper is concerned with a technique for solving Fredholm integro-dierentialequations in the reproducing kernel Hilbert space. In contrast with the conventionalreproducing kernel method, the Gram-Schmidt process is omitted hereand satisfactory results are obtained. The analytical solution is represented inthe form of series. An iterative method is given to obtain the approximate solution.Th...

A new iterative learning controller is proposed for a general unknown discrete time-varying nonlinear non-affine system represented by NARMAX (Nonlinear Autoregressive Moving Average with eXogenous inputs) model. The proposed controller is composed of an iterative learning neural identifier and an iterative learning controller. Iterative learning control and iterative learning identification ar...