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...

This article presents dynamic data driven simulation as a new simulation paradigm where a simulation system is continually influenced by real time data for better analysis and prediction of a system under study. This is different from traditional simulations that are largely decoupled from real systems by making little usage of real time data. We present a framework of dynamic data driven simul...

Parallel simulation of multiprocessor architectures is a promising direction because a parallel system provides the high computation and storage capabilities that are required by detailed architectural simulation. Additionally, the behavior of the target system exhibits natural parallelism. In this paper, we consider the evaluation of the memory hierarchy of multiprocessor systems via parallel ...

A debutanizer column is an integral part of any petroleum refinery. Online composition monitoring of debutanizer column outlet streams is highly desirable in order to maximize the production of liquefied petroleum gas. In this article, data-driven models for debutanizer column are developed for real-time composition monitoring. The dataset used has seven process variables as inputs and the outp...

Tracking control of the direct-drive robot manipulators in high-speed is a challenging problem. The Coriolis and centrifugal torques become dominant in the high-speed motion control. The dynamical model of the robotic system including the robot manipulator and actuators is highly nonlinear, heavily coupled, uncertain and computationally extensive in non-companion form. In order to overcome thes...