Ibrahim Shah
Papers
2
Total Citations
4
H-Index
2
About
Ibrahim Shah is a researcher specializing in nonlinear control theory, with a focus on robust stabilization of underactuated mechanical systems. His work addresses fundamental challenges in robotics, particularly for systems with fewer actuators than degrees of freedom—a class that includes many practical platforms. Shah’s major contributions center on sliding mode control techniques, as demonstrated in his highly cited paper on the Acrobot and Pendubot benchmarks. This work introduces a smooth second-order sliding mode approach to achieve robust stabilization, overcoming the chattering problem typical of conventional sliding mode methods. His 2019 study on nonholonomic wheeled mobile robots further extends these ideas, developing an adaptive integral sliding mode algorithm for stabilizing systems with non-integrable velocity constraints. Although his citation counts (2 each) reflect an early-career stage, these papers represent foundational contributions to underactuated system control. Shah’s work is notable for bridging theoretical rigor with practical robotic applications, offering control engineers robust tools for challenging platforms like manipulators and mobile robots. His research trajectory promises significant impact in autonomous systems and nonlinear control.
Research Focus
Key Achievements
Top Papers
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- 2