Batuhan Ekin Akbulut
Papers
1
Total Citations
6
H-Index
1
About
Batuhan Ekin Akbulut is a researcher specializing in nonlinear dynamics, control systems, and intelligent automation, with a focus on underactuated mechanical systems. His work bridges classical control theory and modern artificial intelligence, particularly in the stabilization of complex, open-loop unstable platforms. His most-cited study, "Classical and intelligent methods in model extraction and stabilization of a dual-axis reaction wheel pendulum: A comparative study" (2022, 6 citations), addresses the challenge of controlling a dual-axis reaction wheel pendulum (DA-RWP). In this work, Akbulut derives both nonlinear and linear models using Lagrangian energy methods, then applies a combination of classical and intelligent control strategies to achieve stabilization. This contribution is notable for its comparative framework, offering insights into the trade-offs between traditional and AI-driven approaches in real-time control. With a growing citation impact, Akbulut’s research is paving the way for more robust and adaptive control solutions in robotics and aerospace applications, making him a promising voice in the field of mechatronics and intelligent systems.
Research Focus
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Top Papers
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