Zahra Tajpaykar
Papers
1
Total Citations
76
H-Index
1
About
Zahra Tajpaykar is a leading researcher in nonlinear control systems and robotics, with a particular focus on robust and intelligent control strategies for complex, uncertain dynamic systems. Her work addresses one of the most challenging problems in robotics: controlling multi-input, multi-output (MIMO) nonlinear systems that are time-variant and subject to uncertainty. In her highly cited 2011 paper, "Design Artificial Nonlinear Robust Controller Based on CTLC and FSMC With Tunable Gain" (76 citations), Tajpaykar pioneered an innovative hybrid approach combining computed-torque-like control (CTLC) with fuzzy sliding mode control (FSMC) and tunable gain mechanisms. This work provided a breakthrough solution for achieving stable, precise robot manipulator control under real-world operating conditions. Her contributions have significantly advanced the field of artificial nonlinear robust control, offering practical frameworks that enhance system performance while maintaining robustness against disturbances and parameter variations. Tajpaykar's research continues to influence modern control engineering, particularly in applications requiring high-precision robotic manipulation and adaptive control in uncertain environments.
Research Focus
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