Mardlijah Mardlijah
Papers
2
Total Citations
7
H-Index
2
About
Mardlijah Mardlijah is a researcher specializing in control systems, robotics, and intelligent optimization algorithms. Her work focuses on developing advanced controllers for mobile robotic systems, particularly addressing challenges like chattering and robustness in nonlinear dynamics. Her most-cited paper, "Design of T2FSMC Controller with Minimum Gain Scale Factor by Optimizing Membership Function Using FireFly Algorithm on Mobile Inverted Pendulum" (2013, 5 citations), demonstrates a novel integration of Type-2 Fuzzy Sliding Mode Control with the FireFly algorithm. This approach successfully optimizes membership functions to minimize gain scale factors, resulting in a controller that is both more effective and robust for stabilizing mobile inverted pendulum robots. Mardlijah has also contributed to multi-robot systems, as seen in her 2021 work on "Decentralized extended Kalman filter of multi-robot position" (2 citations), which addresses position estimation under communication constraints. While her citation counts reflect a focused but growing impact, her innovative combination of bio-inspired optimization with fuzzy control represents a meaningful step toward practical, robust solutions in autonomous robotics. Her research is particularly relevant for engineers seeking to enhance the performance and reliability of mobile robots in real-world environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2Decentralized extended Kalman filter of multi-robot position2 citations · 2021