Hishamuddin Jamaluddin
Papers
5
Total Citations
80
H-Index
4
About
Hishamuddin Jamaluddin is a leading researcher in intelligent control systems, with a primary focus on active force control (AFC) and fuzzy logic applications for automotive and robotic systems. His most impactful work, the 2015 paper on a self-tuning fuzzy PI–PD controller for active anti-roll bar systems in passenger cars (45 citations), demonstrates his expertise in addressing the derivative kick problem in PID controllers—a critical challenge for vehicle stability. Jamaluddin’s foundational contributions to robotic control include pioneering the use of evolutionary neural networks and genetic algorithms to estimate inertia matrices for AFC, as seen in his 2002 hybrid intelligent force controller paper (20 citations). His 2000 work on evolutionary neural network controllers further solidified his reputation for merging artificial neural networks with evolutionary computation to enhance robot arm precision under disturbances. With a career spanning over two decades, Jamaluddin’s research has directly influenced the development of more robust, adaptive control strategies in both automotive safety and industrial robotics. His work remains essential reading for engineers seeking to integrate intelligent estimation techniques into real-time control systems.
Research Focus
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