M. F. Masrom
Papers
3
Total Citations
24
H-Index
2
About
M. F. Masrom is a control systems researcher whose work sits at the intersection of intelligent control theory, optimization algorithms, and robotics. Specializing in interval type-2 fuzzy logic control (IT2FLC) and its integration with bio-inspired optimization techniques, Masrom has made notable contributions to solving complex, highly nonlinear control problems that challenge conventional engineering approaches. Masrom's most recognized work, published in 2019 and accumulating 17 citations, demonstrates the application of particle swarm optimization (PSO) and the spiral dynamic algorithm (SDA) to enhance IT2FLC performance in controlling a triple-link inverted pendulum — one of the most demanding benchmark systems in control engineering. This comparative study showcased how metaheuristic optimization can significantly improve fuzzy controller performance in unstable, high-dimensional environments. A companion study extended this framework to two-wheeled robotic platforms, further demonstrating the versatility of PSO-driven fuzzy control. Beyond robotics benchmarks, Masrom has applied these intelligent control methods to practical assistive technologies, including a four-to-two wheeled wheelchair transformation system, addressing real-world challenges in user mobility and comfort. Collectively, Masrom's research reflects a consistent commitment to advancing adaptive, intelligent control solutions for systems where precision and stability are critical.
Research Focus
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Top Papers
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