Hasan Karbasi

Papers

Total Citations

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About

Hasan Karbasi is a researcher specializing in control systems, robotics, and adaptive fuzzy inference. His work focuses on developing robust controllers for uncertain nonlinear systems, a critical challenge in modern robotics and automation. His most-cited paper, "Design Adaptive Fuzzy Inference Controller for Robot Arm" (2014), addresses the complexities of robot arm control by proposing an adaptive fuzzy inference approach that outperforms classical and non-classical control strategies. This contribution has garnered 7 citations, reflecting its relevance in advancing intelligent control methods for robotic systems. Karbasi’s research bridges the gap between theoretical control design and practical implementation, offering solutions that enhance the stability and performance of robotic arms in uncertain environments. His work is particularly valuable for students and researchers exploring adaptive control, fuzzy logic, and nonlinear system dynamics. By integrating adaptive mechanisms with fuzzy inference, Karbasi has contributed to more resilient and efficient robotic systems, making his research a useful reference for those developing next-generation autonomous machines.