Model predictive control (MPC) based methods are gaining more and more attention in power converters and electrical drives. Nevertheless, high computational burden of MPC is an obstacle for its application, especially when the prediction horizon increases extends. At the same time, increasing the prediction horizon leads to a superior response. In this paper, a long horizon MPC is proposed to c...

Page 1 of 7 To say that information visualization is still a young and evolving fi eld is a considerable understatement. We are still only scratching the surface of its potential. As the science on which it is built continues to yield new insights and an increasing number of talented and innovative people apply these insights in search of new solutions, we can expect eye-opening progress in the...

the certainty assumption that is used in economic analysis, althouth is easier in analysis, may be but not logical because in most projects time is playing a key role. in this time horizon the amount of income and future costs affecting by factors that are not managable by investors and can not to be forecasted. therefore in practice usually there is a gap between forecased and real variables. ...

Some products like green vegetables, volatile liquids and others deteriorate continuously due to evaporation, spoilage etc. In this study, an inventory model is developed for deteriorating items with linearly time dependent demand rate under inflation and time discounting over a finite planning horizon. Shortages are allowed and linearly time dependent. Mathematical model is presented for the p...

Our approach preserves the form of the original problem in that an investor minimizes portfolio variance for a given level of the expected return. However, inputs are now given by the generalized expressions for mean and variance-covariance matrix involving moments of the random exit time in addition to the conditional moments of asset returns. While efficient frontiers in the generalized and t...