Tannaz Khajeaian
Papers
1
Total Citations
33
H-Index
1
About
Tannaz Khajeaian is a researcher whose work sits at the intersection of advanced control theory and robotics, with a particular focus on the precise and stable control of flexible robotic manipulators. Her key research areas include sliding mode control, fuzzy logic controllers, and the optimization of PID-based systems for complex mechanical structures. Her most cited work, "Design Sliding Mode Modified Fuzzy Linear Controller with Application to Flexible Robot Manipulator" (2013, 33 citations), makes a significant contribution by addressing a critical limitation in the design of Modified Proportional-Integral-Derivative Sliding Mode Controllers (MPIDSMC). Traditionally, determining the control gains for these systems was a highly empirical, time-consuming process. Khajeaian’s research introduces a more systematic and efficient methodology, leveraging fuzzy logic to linearize and optimize the controller’s performance. This innovation not only reduces the computational burden but also enhances the robustness and accuracy of controlling flexible manipulators, which are notoriously difficult to manage due to their oscillatory dynamics. Her work provides a valuable framework for engineers and researchers seeking to implement high-performance, adaptive control systems in robotics and automation, demonstrating a clear impact on the practical design of intelligent controllers.
Research Focus
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Top Papers
- 1