Mohamed Roudane
Papers
1
Total Citations
1
H-Index
1
About
Mohamed Roudane is a control systems researcher whose work focuses on intelligent, adaptive control strategies for complex robotic platforms. His key research areas include neuro-fuzzy control, multi-input multi-output (MIMO) system identification, and autonomous robotics. Roudane’s most notable contribution is the development of a novel intelligent predictive control method that integrates maximum likelihood identification with an Adaptive Neuro-Fuzzy Inference System (ANFIS) to solve matrix Diophantine equations in real time. This approach, detailed in his 2025 paper on self-balancing two-wheeled autonomous robots, offers a robust solution for stabilizing inherently unstable MIMO systems. While his citation count is still growing, the work represents a significant methodological advance in combining adaptive control theory with machine learning for practical robotics applications. Roudane’s research bridges theoretical control mathematics and applied autonomous systems, making his contributions valuable for engineers working on dynamic balancing, mobile robotics, and intelligent control architectures.
Research Focus
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Top Papers
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