Papers
2
Total Citations
8
H-Index
2
About
Ramine Nikoukhah is a control systems researcher whose work focuses on predictive control strategies for nonlinear and robotic systems. His key research areas include descriptor-based trajectory tracking control, predictive control methodologies, and their application to flexible-joint robotics. Nikoukhah’s major contribution lies in advancing Descriptor Predictive Control (DPC), a method he rigorously analyzed for local stability and performance in nonlinear tracking problems, particularly under computational delay constraints. His work on a new predictive control strategy for flexible-joint robots demonstrated that incorporating preliminary linear feedback can significantly enhance performance in path-following tasks. While his most-cited papers—such as his 1997 study on computational delay effects (5 citations) and his 2002 application to flexible-joint robots (3 citations)—reflect a focused but impactful body of work, Nikoukhah’s research provides foundational insights for engineers tackling real-time control challenges in robotics and automation. His contributions are particularly valuable for students and researchers exploring predictive control in nonlinear systems, offering both theoretical rigor and practical validation through simulation and application.
Research Focus
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Top Papers
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