An optimal control theory for linear quadratic finite time horizon problem is presented and combined with distributed parameters model of the BLDC (BrushLess Direct-Current) motor. Method appropriateness for minimization of the phase current control error and energy delivered to the drive is proven. The paper focuses on finding the best weighting configuration of the objective function. Present...

.........................................................................................iii LIST OF FIGURES..................................................................................ix ACKNOWLDEGEMENTS........................................................................xv DEDICATION......................................................................................xvii Chapter 1: I...

Recently, tuning the weights of the rules in Fuzzy Rule-Base Classification Systems is researched in order to improve the accuracy of classification. In this paper, a margin-based optimization model, inspired by Support Vector Machine classifiers, is proposed to compute these fuzzy rule weights. This approach not only  considers both accuracy and generalization criteria in a single objective fu...

Preservation of local similarity structure is a key challenge in deep clustering. Many recent clustering methods therefore use autoencoders to help guide the model's neural network towards an embedding which more reflective input space geometry. However, work has shown that autoencoder-based models can suffer from objective function mismatch (OFM). In order improve preservation structure, while...

Finding the best set of gestures to use for a given computer recognition problem is an essential part of optimizing the recognition performance while being mindful to those who may articulate the gestures. An objective function, called the ellipsoidal distance ratio metric (EDRM), for determining the best gestures from a larger lexicon library is presented, along with a numerical method for inc...