This work introduces a new and simple method for adjusting the gain of current mirror. The major advantage of the proposed architecture is that, unlike the conventional variable gain current mirror, it does not need the change of the biasing current to adjust current gain. Therefore, the power dissipation remains constant in all of the gain settings. In addition, the proposed variable gain curr...

The operation of wind energy conversion systems mainly deals with variable and unpredictable wind regimes resulting in variable power efficiency. In addition, nowadays with the presence of high penetration level of wind farms integrated to power systems, stability and power quality problems might be addressed, when a disturbance event occurs. These challenges are worsened with significant degre...

In this paper, we extend the sliding mode idea to a class of unmatched uncertain variable structure systems. This method is achieved with introducing a new terminal sliding variable and the finite time stability of proposed method is proved using a new particular finite time condition in both reaching and sliding phases. In reaching phase new sliding mode controller is derived to guarantee the ...

This study investigates the performance and efficiency of closed-loop oxy-hydrogen Brayton power cycles through numerical modelling simulation. Coupled with storage hydrogen oxygen produced by a water-electrolysis system, these have potential to produce flexible electrical at high thermal whilst producing zero exhaust gas emissions. The output are investigated using thermodynamic model. A stand...

Branching variable selection can greatly affect the effectiveness and efficiency of a branchand-bound algorithm. Traditional approaches to branching variable selection rely on estimating the effect of the candidate variables on the objective function. We propose an approach which is empowered by exploiting the information contained in a family of fathomed subproblems, collected beforehand from ...

In this paper multi granulation rough sets is extended to variable precision to develop a model for multi-granulation variable precision rough sets. We define a lower approximation of the model and address the significance of granularity as heuristic information. We extend the ideas and design a granular space reduction algorithm of multi-granulation variable precision rough sets. Finally, an e...