Toufik Bakir
Papers
2
Total Citations
20
H-Index
2
About
Toufik Bakir is a control systems and robotics researcher whose work focuses on robust control strategies for mobile robots and manipulators, with an emphasis on real-world implementation. His key research areas include nonlinear control, differential flatness, sliding mode control, and active disturbance rejection control (ADRC). Bakir’s most cited paper, “Robust Tracking Control of Wheeled Mobile Robot Based on Differential Flatness and Sliding Active Disturbance Rejection Control: Simulations and Experiments” (2024, 17 citations), introduces a novel method that transforms under-actuated wheeled mobile robot models into linear canonical forms, enabling effective tracking under wind disturbances and wheel slipping. This work bridges theory and practice through both simulation and experimental validation. His earlier work, “Hardware Implementation Using XSG of New Fault Detection Method Applied to Robot Manipulator” (2019), demonstrates his commitment to translating algorithms into real hardware, using Xilinx System Generator for FPGA-based fault detection. Bakir’s contributions are significant for advancing robust, implementable control in autonomous systems, and his growing citation record reflects increasing interest in his practical, disturbance-rejecting approaches.
Research Focus
Key Achievements
Top Papers
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- 2