Shahnaz TayebiHaghighi
Papers
2
Total Citations
80
H-Index
2
About
Shahnaz TayebiHaghighi is a leading researcher in advanced nonlinear control systems, with a primary focus on the robust control of robot manipulators. Her work addresses the critical challenge of managing uncertainties and nonlinearities in complex, multi-input, multi-output (MIMO) robotic systems used in industrial manufacturing. Her most significant contribution is the design of a robust composite high-order super-twisting sliding mode controller (HOSTSMC), detailed in her highly cited 2018 paper (65 citations). This work provides a powerful solution for achieving precise and stable robot motion despite disturbances. Complementing this, she developed an observation-based modified fuzzy sliding mode controller (15 citations), which integrates fuzzy logic with sliding mode techniques to enhance control performance for uncertain dynamical systems. By pioneering these hybrid control strategies—combining high-order sliding modes with fuzzy logic and observation techniques—TayebiHaghighi has made substantial impacts on the reliability and precision of robotic manipulators, offering practical frameworks for next-generation industrial automation.
Research Focus
Key Achievements
Top Papers
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