In this paper we propose an estimator of the entropy of a continuous random variable. The estimator is obtained by modifying the estimator proposed by Vasicek (1976). Consistency of estimator is proved, and comparisons are made with Vasicek’s estimator (1976), van Es’s estimator (1992), Ebrahimi et al.’s estimator (1994) and Correa’s estimator (1995). The results indicate that the proposed esti...

An intelligent control of photovoltaics is necessary to ensure fast response and high efficiency under different weather conditions. This is often arduous to accomplish using traditional linear controllers, as photovoltaic systems are nonlinear and contain several uncertainties. Based on the analysis of the existing literature of Maximum Power Point Tracking (MPPT) techniques, a high performanc...

The solution of the prediction problem is presented for the finite possibilistic modelling [3,4,6,7]. A recurrent variant of finite possibilistic models is considered. In this variant, we define the regularization condition for constructing a quasi-optimal estimator of fuzzy transition operator (FTO). We construct the discrete recurrent extremal fuzzy process with possibilistic uncertainty, the...

Direct torque control (DTC) minimizes the use of machine parameters [1, 2]. Among all methods of torque control in induction motor, direct torque control (DTC) seems to be particularly interesting being independent of machine rotor parameters and requiring no speed or position sensors [3, 4, 5]. In spite of its simplicity, DTC is capable of generating fast torque responses. In DTC the torque an...

Concern for environmental issues has increased in recent years. Waste production influences humanity’s future. The alga, an ubiquitous single-celled plant, can thrive on industrial waste, to the detriment of water clarity and human activities. To avoid this, biologists need to isolate the chemical parameters of these rapid population fluctuations. This paper proposes a Fuzzy-Rough Estimator of ...

This paper proposes an innovative way to interface the concept of FUZZY LOGIC and ABS system used (mainly in transportation and motors) and tests on an experimental car with antilock-braking system (ABS) and vehicle speed estimation using fuzzy logic. Vehicle dynamics and braking systems are complex and behave strongly non-linear which causes difficulties in developing a classical controller fo...

This paper demonstrates the use of dynamic fuzzy-reasoning-based function estimator (DFFE) to interpolate rainfall data in a case study in Switzerland. The functional parameters are also optimized by genetic algorithms (GA). The procedure operates on a series of overlapping partition surfaces around the study area based on expert knowledge and interpretive judgment. The procedure allows for spa...

The paper considers a particular family of fuzzy monotone set–valued stochastic processes. The proposed setting allows us to investigate suitable α-level sets of such processes, modeling birth–and–growth processes. A decomposition theorem is established to characterize the nucleation and the growth. As a consequence, different consistent set–valued estimators are studied for growth process. Mor...

In this paper, we propose a new ridge-type estimator called the new mixed ridge estimator (NMRE) by unifying the sample and prior information in linear measurement error model with additional stochastic linear restrictions. The new estimator is a generalization of the mixed estimator (ME) and ridge estimator (RE). The performances of this new estimator and mixed ridge estimator (MRE) against th...