Dinesh Singh Rana
Papers
2
Total Citations
11
H-Index
2
About
Dinesh Singh Rana is a researcher specializing in robotics, control systems, and dynamic modeling, with a particular focus on flexible robotic manipulators. His work addresses the complex challenges of modeling, analyzing, and controlling robotic systems that exhibit structural flexibility — a critical concern in precision robotics and automation engineering. Rana's most notable contributions center on the mathematical modeling and control of both single and double link flexible robotic manipulators. Employing the Lagrangian method, he developed rigorous dynamic models for these systems and investigated advanced control strategies including PID, Linear Quadratic Regulator (LQR), and state feedback controllers to precisely govern tip position and system stability. His 2013 study on the flexible double link manipulator and his 2014 investigation of the single link variant collectively demonstrate a systematic progression in tackling increasingly complex robotic configurations, accumulating a combined 11 citations within the research community. His simulation-based approach makes his findings practically accessible for researchers and engineers working to bridge theoretical control design with real-world robotic applications. For students entering the fields of mechatronics, control theory, or robotics, Rana's work provides a foundational reference for understanding how flexibility-induced challenges in manipulator systems can be rigorously modeled and effectively controlled.
Research Focus
Key Achievements
Top Papers
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