Projects – Welcome to Machine Learning, Computer Vision, and Dynamic Systems Group

Contemporary Methods for Nonlinear Crisp and Fuzzy Dynamic Models: Theory and Applications

1) A theory and efficient numerical methods for solving Volterra fuzzy integral equations with piecewise continuous kernels have been developed. Existence and uniqueness theorems for solutions of such a class of fuzzy integral equations are proved. The convergence of the method of successive approximations is established and an estimate of th

fuzzy dynamic systemsRSFVolterra models

Modeling and Control Methods of Cyber-Physical Systems in Multi-Energy Microgrids

International Project of ESI SB RAS (Russia, PI), CSU (China) and IIT Roorkee (India). The concept of intelligent multi-energy microgrids is based on the development and the introduction of cyberphysical systems based on effective mathematical models, telecommunication and information management technologies that allow efficiently generate, s

CSUIITRmulti-energy microgrid

Разработка математических методов интеграции возобновляемых источников генерации и накопителей энергии в современные энергосистемы

Руководитель: Жуков Алексей Проект поддержан фондом РФФИПроект направлен на разработку математического метода для эффективного управления накопителями энергии в электроэнергетических

RFBR

Nonlinear dynamical models for wind power systems: forecasting and storage systems control

Project Leads: Prof. RAS Denis Sidorov1 and Prof. Fang Liu2 1Melentiev Energy Systems Institute (Russia), 2Central South University (China) Wind power systems are characterized by generation variability. The project deals with the integration of wind energy systems using new energy storage control algorithms, as well as forecasting models of

CSUgrantProject