Jordan Kralev

Papers

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About

Jordan Kralev’s research lies at the intersection of robust control theory and embedded systems, with a particular focus on autonomous and robotic platforms. His work addresses the critical challenge of designing control systems that maintain stability and performance despite uncertainties—a necessity for dependable technologies like drones and self-balancing robots. Kralev’s most cited paper, “Design of Embedded Robust Control Systems Using MATLAB®/Simulink®” (2018, 37 citations), provides a practical framework for implementing robust controllers in real-time embedded environments, bridging the gap between theoretical control design and hardware deployment. He further demonstrated this approach in experimental work on a two-wheeled robot (2016, 10 citations), where he designed and validated μ-controllers for vertical stabilization using system identification from closed-loop data. His research also extends to humanoid robotics, with an embedded walking algorithm for a 17-degree-of-freedom biped robot (2019), implemented on an Arduino platform. Kralev’s contributions are notable for their emphasis on experimental validation and practical implementation, making advanced control techniques accessible for real-world autonomous systems. His work has been cited in contexts ranging from educational tools to industrial embedded control design.