Anita Ahmad
Papers
1
Total Citations
13
H-Index
1
About
Anita Ahmad is a robotics researcher whose work focuses on the modeling and control of nonlinear, underactuated systems, with a particular emphasis on two-wheeled inverted pendulum (TWIP) mobile robots. Her major contribution lies in the development of advanced fuzzy control strategies for these inherently unstable platforms. In her most-cited work, she introduced a fuzzy model-based approach for velocity control, leveraging Takagi-Sugeno (T-S) fuzzy modeling, fuzzy Lyapunov functions, and non-parallel distributed compensation (non-PDC) control laws. This approach enables precise balancing and tracking control, addressing key challenges in mobile robotics. With 13 citations, this paper has established a foundation for further research in intelligent control of TWIP robots. Ahmad’s work is notable for its rigorous theoretical framework and practical applicability, making her a rising figure in the field of nonlinear control systems and fuzzy logic.
Research Focus
Key Achievements
Top Papers
- 1