Mohd Ashraf Ahmad

Universiti Malaysia Pahang Al-Sultan Abdullah

Papers

25

Total Citations

354

H-Index

11

About

Mohd Ashraf Ahmad is a prominent researcher specializing in robotics, control systems, and intelligent control strategies, with particular expertise in flexible manipulators, nonlinear systems, and advanced algorithmic optimization. His work has made significant contributions to the field of robotic control, most notably through his investigations into dynamic modelling and control of flexible robot manipulators — a challenging domain where joint elasticity and structural complexity demand sophisticated approaches beyond conventional methods. Ahmad's most-cited work, "Dynamic Modelling and Characterisation of a Two-Link Flexible Robot Manipulator" (2010, 43 citations), established foundational insights into planar flexible systems incorporating structural damping and payload dynamics. Complementing this, his development of composite fuzzy logic and hybrid intelligent control schemes (41 citations) offered practical solutions for trajectory tracking in elastically jointed systems. His comparative studies on two-wheels balancing robots further demonstrated his breadth across nonlinear control challenges. More recently, Ahmad has advanced data-driven PID tuning through adaptive optimization algorithms and contributed to multi-robot coordination and fractional-order system identification, reflecting his evolution toward cutting-edge computational methods. With a body of work accumulating hundreds of citations, Ahmad's research continues to meaningfully shape modern robotics and intelligent control engineering.

Research Focus

Key Achievements

11
H-Index
25
Papers
354
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
Dynamic Modelling and Characterisation of a Two-Link Flexible Robot Manipulator
43 citations · 2010
📈 Most Prolific Year: 2010 (7 Papers)
🤝 Key Collaborators: 34
🏛 Institutions: Universiti Malaysia Pahang Al-Sultan Abdullah

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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