Abstract We develop an inflationary model without small parameters on the basis of multidimensional f ( R ) gravity with a minimally coupled scalar field. The is described by two stages space expansion. first one begins at energy scales about D-dimensional Planck mass and ends de Sitter metric our maximally symmetric extra dimensions. In following, quantum fluctuations produce wide set inhomoge...

The optimal design of the automatic voltage regulators for a synchronous machine are positively reflected on quality stability. This paper is concerned with an AVR by adopting three control techniques. first one was designed according to traditional proportional integration-derived (PID) controller while fuzzy logic adopted in second powerful controller, finally PID regulator (AVR) based techno...

This paper presents two new controllers and uses an extension of the generalized secant method of solving linear equations. 1] The rst controller is adaptive and operates in the time domain. The second one is a learning-adaptive controller which uses a similar mathematical concept, but it is formulated to deal with repetitive systems with repetitive disturbances. This controller operates in the...

This paper presents the development of a Genetic Algorithm Supervisory Loop (GASL) to enhance the performance of Adaptive Controllers in the Self Tuning Regulator (STR) framework. The GASL is designed to tune the identification model and control parameters to achieve an optimum performance of the process. The STR controller used to demonstrate the technique effectiveness is a real time Proporti...

Linear quadratic gaussian (LQG) optimal control techniques can control linear multivariable systems that are precisely known [1,2]. Within the framework of the design, they achieve a best possible performance. However, if the plant is imprecisely known, actual performance can be intolerably poor. The guaranteed gain and phase margins for the case of the nominal plant may evaporate in the presen...

Traditionally, given two timing constraint sets, their relationship is defined by their timed trace inclusions. This approach only gives a boolean answer to if one set of constraints is contained within the other. In this paper, we first introduce a quantitative measure to describe the closeness or the similarity between two timing constraint sets. We intend to study the satisfaction bounds of ...

In this paper, a high-performance optimal fractional emotional intelligent controller for an Automatic Voltage Regulator (AVR) in power system using Cuckoo optimization algorithm (COA) is proposed. AVR is the main controller within the excitation system that preserves the terminal voltage of a synchronous generator at a specified level. The proposed control strategy is based on brain emotional ...

Performance tuning in modern database systems requires a lot of expertise, is very time consuming and often misdirected. Tuning attempts often lack a methodology that has a holistic view of the database. The absence of historical diagnostic information to investigate performance issues at first occurrence exacerbates the whole tuning process often requiring that problems be reproduced before th...