Papers
1
Total Citations
22
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1
About
Farhan Mumtaz is a robotics and control systems researcher whose work focuses on advanced nonlinear control strategies for robotic manipulators. His primary research areas include model-free control, time delay estimation (TDE), and sliding mode control techniques, with a particular emphasis on overcoming the challenges posed by nonlinear friction and system uncertainties. His most cited work, a 2022 paper that has garnered 22 citations, introduces a novel model-free finite-time tracking control framework for rigid robotic manipulators. The key contribution lies in the integration of TDE with an enhanced terminal sliding mode control (TSMC), specifically employing a fractional-order TSMC (FOTS) scheme. This innovative approach achieves robust, high-precision tracking without requiring an accurate system model, effectively mitigating the detrimental effects of nonlinear friction. By combining TDE’s estimation capabilities with the finite-time convergence properties of fractional-order sliding surfaces, Mumtaz’s work provides a practical and theoretically sound solution for real-world robotic applications. His research is particularly valuable for students and engineers seeking robust control methods that simplify implementation while maintaining high performance in complex, uncertain environments.
Research Focus
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Top Papers
- 1