Ahmad Nor Kasruddin Nasir
Universiti Malaysia Pahang Al-Sultan Abdullah, University of Sheffield
Papers
16
Total Citations
208
H-Index
8
About
Ahmad Nor Kasruddin Nasir is a control systems engineer whose research sits at the intersection of robotics, intelligent control, and optimization algorithms. His work primarily focuses on flexible robot manipulators, nonlinear balancing systems, and the development of hybrid intelligent control strategies that push beyond the limitations of conventional model-based approaches. Among his most significant contributions is his exploration of composite fuzzy logic control for flexible joint manipulators, his most-cited work with 41 citations, which addressed the inherent complexity of elastic joint dynamics through hybrid intelligent schemes. He has also made substantial contributions to the control of two-wheeled balancing robots, systematically benchmarking competing strategies — including PID, LQR, Fuzzy Logic, and Sliding Mode Controllers — across multiple studies that together have accumulated over 60 citations. Nasir's work extends into bio-inspired optimization, where he developed novel hybrid algorithms merging bacterial foraging and spiral dynamics methodologies for modelling flexible systems, earning recognition across multiple publications. His 2020 data-driven PID work, incorporating an adaptive safe experimentation dynamics algorithm, reflects his continued evolution toward modern, model-free control paradigms. Collectively, his research provides robotics and control engineers with practical, rigorously compared tools for tackling highly nonlinear dynamic systems.
Research Focus
Key Achievements
Top Papers
- 1Composite Fuzzy Logic Control Approach to a Flexible Joint Manipulator41 citations · 2013
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- 5Novel hybrid bacterial foraging and spiral dynamics algorithms18 citations · 2013
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- 10Techniques of vibration feedback control of a flexible robot manipulator5 citations · 2009