Iraj Hasanzadeh
Papers
1
Total Citations
15
H-Index
1
About
Iraj Hasanzadeh is a researcher specializing in robotics and control systems, with a particular focus on advanced predictive control strategies for complex robotic manipulators. His most notable contribution comes from his 2012 work, "A predictive controller based on dynamic matrix control for a non-minimum phase robot manipulator," which has garnered 15 citations. This paper addresses the challenging problem of controlling non-minimum phase systems—robotic arms that exhibit inverse response behavior—by applying dynamic matrix control (DMC), a model predictive control technique. Hasanzadeh’s approach demonstrates how DMC can effectively stabilize and improve the performance of such systems, offering a robust solution for precision tasks in industrial and service robotics. His work bridges theoretical control methods with practical robotic applications, providing a foundation for further research in nonlinear and constrained system control. While his citation count reflects a focused but impactful contribution, Hasanzadeh’s research is particularly valuable for engineers and students working on advanced robotic control, where handling non-minimum phase dynamics remains a critical challenge. His findings underscore the potential of predictive control to enhance robot dexterity and reliability in real-world environments.
Research Focus
Key Achievements
Top Papers
- 1