Nasri Sulaiman
Papers
28
Total Citations
1,208
H-Index
22
About
Nasri Sulaiman is a prominent researcher specializing in intelligent control systems, robotics, and field-programmable gate array (FPGA) technologies. His work has made significant contributions to the design of advanced controllers for robot manipulators — complex, nonlinear, multi-input multi-output systems that present considerable challenges in achieving stable and high-performance control. Sulaiman has been particularly instrumental in developing hybrid control methodologies that combine fuzzy logic, sliding mode control, and classical techniques such as PID and computed torque controllers, resulting in robust, model-free solutions capable of handling uncertainty and nonlinearity with remarkable precision. Among his most influential contributions is his development of tunable gain sliding mode fuzzy controllers and adaptive fuzzy gain scheduling frameworks, which collectively have garnered hundreds of citations. His 2009 review of FPGA-based systems established an important foundation for hardware implementation of intelligent controllers, while his subsequent 2011 work on FPGA-based sliding mode control brought theoretical advancements closer to practical deployment. Across his ten most-cited papers alone, Sulaiman has accumulated over 650 citations, reflecting the broad impact of his research. His body of work continues to serve as an essential reference for engineers and researchers developing next-generation robotic and automated control systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2Design of FPGA-based Sliding Mode Controller for Robot Manipulator.81 citations · 2011
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- 6Design and implementation of FPGA-based systems - a review63 citations · 2009
- 7Design PID-Like Fuzzy Controller With Minimum Rule Base and Mathematical Proposed On-line Tunable Gain: Applied to Robot Manipulator57 citations · 2011
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