In this paper, we propose an efficient iteration algorithm for Fredholm integral equations of the second kind based on spline quasi-interpolants (abbr. QIs). We show that for every iteration step we obtain superconvergence rates. A superconvergent method called functional approximation method...

In this work, a combination of numerical methods applied to thermohydrodynamic lubrication problems with cavitation is presented. It should be emphasized the difficulty of the nonlinear mathematical coupled model involving a free boundary problem, but also the simplicity of the algorithms...

In this paper, an adaptation of the infinity Laplacian equation to weighted graphs is proposed. This adaptation leads to a nonlocal partial difference equation on graphs, which is an extension of the well-known approximations of the infinity Laplacian equation. To do so, we study the limit as p...

In this paper we propose to use Markov chain Monte Carlo methods to estimate the parameters of stochastic volatility models with several factors varying at different time scales. The originality of our approach, in contrast with classical factor models is the identification of two factors...

Excessive temperatures in cable bundles integrated in cars can cause harms to connecting structures and essential components. To avoid hotspot generation already at the production of cable harnesses, reliable predictions of temperatures in cables under load are necessary. Two approaches for...

A new neural network is proposed in this paper for solving quadratic programming problems with equality and inequality constraints. Comparing with the existing neural networks for solving such problems, the proposed neural network has fewer neurons and an one-layer architecture. The proposed...

Stochastic frontier analysis (SFA) is often used to estimate technical efficiency of entities such as firms, countries or municipalities. A potential dependence between the two components of the error term can be taken into account by a copula function. While estimation of the model is...

This paper proposes a simple adaptive synchronization method for a chaotic permanent magnet synchronous motor (PMSM). Convergence of the closed-loop system responses is shown by using a Lyapunov function. The proposed adaptive synchronization method does not require the restrictive assumption of...

The paper deals with the sliding-mode control and the sliding-mode speed observer for the induction motor drive. The main interest of the paper is high speed operation, during the field-weakening, where the machine magnetizing characteristic is of great importance. Therefore the magnetizing...

This paper presents fuzzy model-based design for control and synchronization of chaotic systems. In this framework, the chaotic systems are exactly reproduced based on a Takagi–Sugeno (T–S) fuzzy model. Then the fuzzy controllers for control and synchronization are designed using the...