We numerically investigate that an adaptive control law achieves internal model principle control in the presence of plant input nonlinearities. We focus on retrospective cost adaptive control (RCAC) applied to Hammerstein systems with unknown input nonlinearity and limited modeling of the linear dynamics. The goal is to determine whether the control law achieves the correct gain and phase shif...

A nonlinear experimental pH neutralization plant is controlled using a neural networks based Approximate Predictive Control (APC) strategy. First a closed-loop identification is performed, further, using neural networks, a black-box modeling of the experimental plant is conducted. Then the approximate predictive controller is realized, where a linear model of the plant is extracted at each samp...

New approaches are needed to develop more effective interventions to prevent long-term rejection of organ allografts. Computational biology provides a powerful tool to assess the large amount of complex data that is generated in longitudinal studies in this area. This manuscript outlines how our two groups are using mathematical modeling to analyze predictors of graft loss using both clinical a...

E-commerce is a form of trade that has gained increasing attention from consumers and sellers. However, despite high growth rates, e-commerce still has low levels of consumers. This study aims to determine the factors that influence the purchasing decision in e-commerce, in order to better understand acceptance or rejection of e-commerce among consumers. To this end, a first framework was const...

Recommender systems usually assume that the feedback from users is independent from the way a suggestion is presented. Usually the learning effort to estimate the user model is aimed at recognizing a subset of items according to the user preferences. We argue that acceptance or rejection is not independent from the presentation of the recommended items. Shaping a recommended item means to decid...

in this paper, the removal of phenol by using aqueous solution in a low pressure reverse osmosis membrane was investigated. the effect of feed pressure, feed concentration, feed flow rate and feed ph on phenol rejection was investigated. the results showed that feed ph is the most affective parameter on the phenol rejection. rejection of phenol increased with increasing ph from 2 to 10 under th...

Abstract Many dynamic systems containing a large number of modes can benefit from adaptive control techniques, which are well suited to applications that have unknown parameters and poorly known operating conditions. In this paper, we focus on a direct adapti ve control approach that has been extended to handle adaptive rejection of persistent disturbances. We extend this adaptive control theor...

Assimilation of a standard ERP system to an organization is difficult. User involvement seems to be the crux of the matter. However, even the best intentions for user involvement may come to nothing. A case study of a five-year ERP implementation process reveals that a main reason may be that the perception of usefulness of the system in any given phase of the implementation is heavily dependen...

The development of models that predict membrane performance has contributed a better understanding of the basic principles and mechanisms of solute rejection and deposition. It also serves as fundamental properties that allow specific characterization determination. This work fabricates hollow fiber membranes using Polyethersulfone (PES). The membranes were fabricated in-house using phase inver...