N.A. Polyakov

Papers

Total Citations

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About

N.A. Polyakov is a researcher whose work centers on the application of fuzzy logic to the control of electromechanical systems. Their primary contribution is a comprehensive survey that reviews control algorithms for electromechanical plants, synthesizing principles of fuzzy logic with methods for analyzing system stability through fuzzy Lyapunov functions. This work, which has garnered 3 citations, serves as a foundational reference for engineers and researchers seeking to implement robust, intelligent control in complex electromechanical environments. Polyakov’s research bridges theoretical advances in fuzzy control with practical implementation, often realized in the form of vector control systems. While their citation count reflects a niche but focused impact, their survey provides a critical roadmap for integrating soft computing techniques into traditional control paradigms. For students and researchers exploring adaptive or nonlinear control, Polyakov’s work offers a clear entry point into the synthesis and stability analysis of fuzzy-logic-based controllers for real-world electromechanical applications.