Alireza Basohbat Novinzadeh
Papers
5
Total Citations
84
H-Index
4
About
Alireza Basohbat Novinzadeh is a researcher whose work sits at the intersection of aerial robotics, nonlinear control theory, and parallel manipulator dynamics. His primary contributions lie in developing sophisticated formation control strategies for aerial robots, where he pioneered a virtual structure-based approach enhanced by a novel fuzzy-based self-tuning synchronization method. This work, published in 2016 and garnering 52 citations, introduced a guidance law derived from aerodynamic and dynamic equations, enabling more robust and practical formation flight. Novinzadeh has also advanced the field of moving-mass controlled flying robots, investigating the performance of model-free adaptive control on these highly nonlinear systems. His research extends to sensor-failure resilience in vision-based formation control and the application of impedance control to 3RPS parallel manipulators, where he has compared model-based techniques for reducing tracking error under noise and disturbance. Through these contributions, Novinzadeh demonstrates a consistent focus on bridging theoretical control innovations with real-world robotic applications, particularly in challenging, nonlinear environments.
Research Focus
Key Achievements
Top Papers
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- 4Impedance control of the 3RPS parallel manipulator9 citations · 2014
- 5Comparison of motion control techniques for a 3RPS parallel manipulator2 citations · 2015