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September 21, 2026
Researchers Develop Methodology to Assess the Quality of Legal Representation in Criminal Proceedings
Having a good defence attorney in criminal proceedings can largely determine whether a defendant retains their freedom, health and good name. Researchers at HSE University propose a method for predicting an attorney’s performance based on the outcomes of their previous cases. The methodology takes into account the severity of the charges, the complexity of the cases, and the most likely outcome, drawing on judicial statistics.
September 21, 2026
Algebra, Geometry, and AI: Russian and Vietnamese Mathematicians Discuss Current Research
A delegation of scientists from Hanoi visited the HSE Faculty of Computer Science and then took part in a Russian-Vietnamese conference in St Petersburg. The events were part of the three-year project ‘Flexibility and Computational Methods.’ Over the course of the project, the researchers have prepared joint publications and obtained new mathematical results.
September 18, 2026
When Pictures Hinder Understanding: Illustrations May Impede Learning of Abstract Ideas
Illustrations can help remember specific actions but do not always make abstract ideas easier to learn. Researchers from HSE University and Humboldt University compared how people learn from texts with different levels of abstractness. They found that participants remembered illustrations better and performed better on related tasks after reading a multimedia text about yoga asanas than after reading an abstract text about the Nash equilibrium. The findings could help improve the selection of illustrations for educational and informational materials. The study has been published in Learning and Instruction.

 

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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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