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April 28, 2026
Scientists Develop Algorithm for Accurate Financial Time Series Forecasting
Researchers at the HSE Faculty of Computer Science benchmarked more than 200,000 model configurations for predicting financial asset prices and realised volatility, showing that performance can be improved by filtering out noise at specific frequencies in advance. This technique increased accuracy in 65% of cases. The authors also developed their own algorithm, which achieves accuracy comparable to that of the best models while requiring less computational power. The study has been published in Applied Soft Computing.
April 27, 2026
Fair Division: How Mathematics Helps to Divide the Indivisible
How can items be allocated among participants so that no one feels short-changed? Alexander Karpov, Assistant Professor at the Faculty of Economic Sciences, and his Singaporean colleague, Prof. Warut Suksompong, set out to find a mathematical answer to this question. In this interview, they discuss how a model of rational preferences is constructed, why one cannot rely on a simple sum of values, and where an algorithm that asks a minimal number of questions can be useful.
April 24, 2026
Electronics of the Future: Why Superconductors and Spintronics Work Together
It was once believed that superconductivity and magnetism avoided each other like the devil avoids holy water. However, modern nanostructures prove the opposite. A Russian theoretical physicist and Indian experimentalists have joined forces to create the electronics of the future—free from energy losses. Nataliya Pugach, Professor at the School of Electronic Engineering at HSE MIEM and Leading Research Fellow at the Quantum Nanoelectronics Laboratory, explains how a long-standing acquaintance in Cambridge grew into a mirror laboratory project with the Indian Institute of Technology Bombay (IIT Bombay), how superconducting spintronics works, and what surprises a researcher in India beyond the university campus.

 

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Синтез P и PI-регуляторов для нелинейных систем с использованием окружностей Холла и диаграмм Никольса

Промышленные АСУ и контроллеры. 2015. № 6. С. 41–47.
Kapalin V. I., Ведяшкина Наталья Евгеньевна
A simple technique for the design of P and PI-regulators for nonlinear control systems, which is based on the theory of minimax approximations, is proposed. Unlike the widely known methods of harmonic and statistic linearization, the minimax linearization method used in the present paper does not require special suppositions concerning the input signal of the nonlinear element. And unlike the classical method of Taylor series it does not require the small intervals of approximation. The main idea of the proposed method consists in substitution of the nonlinear element of the system by a family of its linear models obtained by minimax technique. For the design of the feedback system after this substitution the simple methods of Hall circles for zero order regulators and Nichols diagram for fi rst order regulators is used. This approach may prove out to be preferable for practice than robust control methods which usually give the high order regulators. For the check of the robust properties as to the nonlinear element all the computations are performed for two kinds of nonlinear elements – piecewise linear and polynomial. The simulation for the linear models is performed in toolbox Control System Toolbox of MATLAB. The design of the nonlinear feedback systems is carried out in Simulink. The results of simulation for different levels of input signals for the nonlinear element corroborated the robustness of the designed nonlinear feedback system concerning the uncertain nonlinear elements. The simulation was performed for the case of satur ation nonlinear elements but the suggested approach applicable for every continuous nonlinear elements in the system.
Research target: Computer Science Mathematics
Priority areas: IT and mathematics
Language: Russian
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Keywords: робастное управлениесистема MATLABMATLABP and PI-regulatorsminimax approximationHall circlesNichols diagramsrobust controlP и PI-регуляторыминимаксные аппроксимациикруги Холла и диаграммы Никольса
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