About

K. Melhem is a control systems researcher whose work has made significant contributions to the fields of robotics, nonlinear control theory, and the dynamics of mechanical systems. His research is primarily focused on developing rigorous feedback control strategies for complex robotic systems, with a particular emphasis on global tracking control — ensuring stability and convergence regardless of initial conditions. Melhem's most influential contribution, "Global Output Tracking Control of Flexible Joint Robots via Factorization of the Manipulator Mass Matrix" (2009), has garnered 53 citations and addresses the challenging problem of controlling flexible-joint robots using only position measurements, circumventing the need for velocity sensors. His earlier work on Euler-Lagrange systems (2002, 33 citations) established foundational dynamic position feedback controllers with proven global stability properties, cementing his reputation in output feedback control theory. Beyond robotics, Melhem has developed unified frameworks for modeling holonomically constrained rigid bodies and explored constructive stabilization approaches for constrained mechanical systems, broadening the applicability of his methods. His novel Cartesian-coordinate-based model for flexible-joint manipulators further demonstrates his commitment to rethinking foundational representations in robotics. Across his career, his work offers students and researchers both theoretical depth and practical tools for tackling real-world control challenges.

Research Focus

Key Achievements

4
H-Index
8
Papers
113
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
Global Output Tracking Control of Flexible Joint Robots via Factorization of the Manipulator Mass Matrix
53 citations · 2009
📈 Most Prolific Year: 2002 (2 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Lakehead University, Polytechnique Montréal, Science et Ingénierie des Matériaux et Procédés, École de Technologie Supérieure

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago