Zahra Yaghoubi
Papers
3
Total Citations
8
H-Index
2
About
Zahra Yaghoubi’s research focuses on the intersection of nonlinear dynamics, chaos theory, and mobile robotics, with a particular emphasis on energy-efficient control and system synchronization. Her work explores the innovative use of “anticontrol of chaos”—also known as chaotification—to transform non-chaotic systems into chaotic ones, thereby improving control performance and reducing energy consumption in nonholonomic mobile robots. In her most-cited paper (2012, 4 citations), she demonstrated how synchronizing the error dynamics of a mobile robot with a chaotic gyroscope can achieve energy reduction. She further advanced this approach in subsequent studies (2019, 2 citations each) by integrating hybrid neural network control and addressing parametric uncertainties through feedback linearization. Yaghoubi’s contributions are notable for applying chaos theory as a practical engineering tool rather than a phenomenon to be suppressed, opening new pathways for robust, low-energy robotic control. Her work is particularly relevant for researchers in nonlinear control, mobile robotics, and chaotic systems, offering a unique perspective on how deliberate chaos can enhance system performance.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3