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K. Muzalev

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Conference Sep 2026

Adaptive Algorithmic Methods in Intelligent Control Systems: A Comparative Study of Reinforcement Learning and Model Predictive Control for Power System Optimization

Adaptive algorithmic methods are essential for intelligent control systems in modern power grids and electrotechnical complexes, enabling real-time optimization, fault tolerance, and operational stability under varying conditions. This paper presents a comparative study of two adaptive control approaches-Reinforcement...

S. Shiryaeva, V. Tynchenko, K. Muzalev · 0 citations

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