Ibtissem Malouche
Papers
2
Total Citations
10
H-Index
2
About
Dr. Ibtissem Malouche is a control systems researcher whose work bridges advanced theoretical frameworks with real-world robotic applications. Her primary research areas include adaptive control, model predictive control (MPC), and linear parameter varying (LPV) systems, with a strong focus on discrete-time and non-square MIMO dynamics. Her most cited work, "A New Adaptive Partially Decentralized PID Controller for Non-square Discrete-time Linear Parameter Varying Systems" (2018, 8 citations), introduces a novel approach to decentralized control for complex, non-square systems, offering a computationally efficient alternative to centralized methods. This contribution is particularly valuable for industrial processes where system coupling and parameter variation pose significant challenges. Her second notable paper, "Realtime Application of Constrained Predictive Control for Mobile Robot Navigation" (2017, 2 citations), demonstrates the practical implementation of constrained MPC for autonomous trajectory tracking in wheeled mobile robots. By addressing the real-time computational demands of MPC, this work showcases her ability to translate sophisticated control theory into deployable solutions for autonomous navigation. Dr. Malouche’s research is characterized by its dual emphasis on theoretical innovation and experimental validation, making her a rising voice in the field of intelligent control systems.
Research Focus
Key Achievements
Top Papers
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- 2