Tahere Pourseif
Papers
1
Total Citations
13
H-Index
1
About
Tahere Pourseif’s research centers on adaptive control systems and robotics, with a particular focus on solving complex tracking problems in dynamic environments. Her most-cited work, “Model Reference Adaptive Control for Robot Tracking Problem: Design & Performance Analysis,” addresses the challenge of controlling robot manipulators with both known and unknown parameters under torque disturbances. In this study, she designed an adaptive controller that estimates the Jacobian matrix to enable precise tracking of desired angular paths, offering a robust solution for real-world robotic applications. With 13 citations, this paper demonstrates her ability to tackle fundamental issues in nonlinear control and robotics. Pourseif’s contributions are valuable for advancing adaptive control theory, particularly in systems where parameter uncertainty and external disturbances are prevalent. Her work provides a foundation for developing more resilient and autonomous robotic systems, making her research highly relevant for students and engineers working on robot dynamics, control design, and mechatronics. Through her innovative approach to model reference adaptive control, Pourseif has established herself as a promising voice in the field of robotic control systems.
Research Focus
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Top Papers
- 1