Mohammed Yousri Silaa
Papers
3
Total Citations
34
H-Index
3
About
Mohammed Yousri Silaa is a rising researcher in advanced robotics and adaptive control systems, with a focus on intelligent trajectory tracking for robotic manipulators and mobile robots. His work centers on developing robust, adaptive control strategies that overcome traditional limitations like chattering and uncertainty. In his highly cited 2024 paper, he introduced a robust adaptive sliding mode control using stochastic gradient descent (ASMCSGD) for robot arm manipulators, achieving significant improvements in robustness, chattering elimination, and precise trajectory tracking—garnering 17 citations. That same year, he proposed an indirect adaptive control PID leveraging neural networks and a discrete extended Kalman filter (IAPIDNN-DEKF) for wheeled mobile robots, earning 13 citations for its novel approach to real-time adaptation. Most recently, in 2025, Silaa advanced the field with an adaptive sliding mode controller incorporating a switching gain and forgetting factor for 2-DOF arm manipulators, further enhancing conventional SMC robustness. With over 34 citations across his key works, Silaa is establishing himself as an innovator in merging machine learning with classical control theory, offering practical solutions for autonomous systems.
Research Focus
Key Achievements
Top Papers
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