Introduction. For the effective use of unmanned aerial vehicles (UAV), it is required to take into account impact atmospheric environmental factors. Based on existing level development research and methodological apparatus, impossible determine probability damage UAV under conditions complex exposure factors assess feasibility further performance flight task. Violation operation process caused ...

This paper generalizes Block-Pulse Functions method for solving systems of linear Volterra integral equations of the second kind. This method, using operational matrix associated with Block-Pulse Functions, reduces these types of equations to a linear lower triangular system of algebraic equations. Numerical examples are presented to illustrate the computational efficiency of the method.

this study presents a comparative survey of direct methods for solving variational problems. thisproblems can be used to solve various differential equations in physics and chemistry like rateequation for a chemical reaction. there are procedures that any type of a differential equation isconvertible to a variational problem. therefore finding the solution of a differential equation isequivalen...

First-order Takagi-Sugeno models are mainly based on the interpolation between several local affine functions usually defined on trapezoidal fuzzy partitions. The standard computational model presents some shapefailures: the approximation does not preserve the positivity, monotony or convexity of the data that belong to the corresponding antecedent term cores. Moreover the standard output does ...

In many machine learning and pattern recognition tasks, there is always a need for appropriate metric functions to measure pairwise distance or similarity between data, where a metric function is a function that defines a distance or similarity between each pair of elements of a set. In this thesis, we propose Triangular Similarity Metric Learning (TSML) for automatically specifying a metric fr...

Using a theoretical result regarding the global stability of discrete dynamical systems of lower triangular form, we establish convergence properties of forward neural networks when the neuron response functions fail to be continuous.