Abasin Ulasyar

Papers

Total Citations

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About

Abasin Ulasyar is a researcher specializing in control systems engineering, with a particular focus on the modeling and stabilization of self-balancing two-wheeled robot systems. His major contributions lie in the design of advanced optimal and adaptive control strategies, notably through the application of Model Predictive Control (MPC). In his most cited work (2016, 11 citations), Ulasyar developed a robust MPC scheme that optimizes future system behavior by computing optimal trajectories for the manipulated variable, effectively addressing the inherent instability of two-wheeled robots. He extended this work in a subsequent publication (2017, 6 citations) by introducing an adaptive MPC framework that incorporates online model estimation, overcoming the limitations of traditional Linear-Time-Invariant models. This adaptive approach allows the controller to adjust in real-time to changing dynamics, significantly improving position control and system robustness. While his citation counts reflect a focused, early-career impact, Ulasyar’s contributions are notable for advancing practical, real-time control solutions for underactuated robotic systems—a challenging problem in mechatronics and robotics. His work serves as a valuable reference for researchers and students exploring nonlinear control, adaptive systems, and autonomous vehicle stabilization.