in this paper, a neural network model reference adaptive system speed observer is designed, which can be used in speed control of linear induction motors (lims). dynamical equations of lim have been considered accurate. in other words, the end effect and the electrical losses of the motor have been included in the motor equivalent circuit. then equations of the reference model and adaptive mode...

micrornas (mirnas) are small preserved non-coding rna molecules that regulate gene expression post-transcriptionally by targeting the 3' utr of mrnas for translational repression or degradation. the rising evidence has established the significant role of mirnas within the regulation of immune system and the prevention of autoimmunity. mir-146a has obtained an importance as a modulator of d...

this paper presents a stable new algorithm for force/position control in robot manipulators. in this algorithm, position vectors are measured by sensors and then used in the control law. since using force sensor has some issues such as high costs and technical problems, an approach is presented to overcome these issues. in this respect, force sensor is replaced by an adaptive fuzzy estimator to...

using current employee performance data to predict the future behavior of the applicants is an interesting area which can broaden new horizons of knowledge lay in the organization. because of inherent ambiguity and uncertainty, cognitive limitations of the human mind make unknown behaviors of very complex systems difficult to predict. as a consequence, it is necessary to model the imprecise mod...

In this paper, the enhancement of vehicle stability and handling is investigated by control of the active geometry suspension system (AGS). This system could be changed through control of suspension mounting point’s position in the perpendicular direction to wishbone therefore the dynamic is alternative and characteristics need to change. For this purpose, suitable controller needs to change...

Modern learning is impossible without automated knowledge testing systems. At present, the most progressive are adaptive models in which complexity of tasks varies depending on correctness patient’s answers. This article describes development an intelligent system using a fuzzy mathematics device. An has been developed; module that implements expert uses production base rules. The input paramet...