Mouloud Ider.

Papers

Total Citations

H-Index

About

Dr. Mouloud Ider is a researcher in robotics and intelligent control systems, with a primary focus on fuzzy logic applications for autonomous navigation. His most cited work, "Type-2 fuzzy logic control for a mobile robot tracking a moving target" (2015), introduces a novel type-2 fuzzy logic controller (FLC) that enables mobile robots to track dynamic targets in cluttered environments. The key innovation lies in his multi-behavioral architecture, which integrates attraction to a moving target, obstacle avoidance, and a fusion block to generate smooth, adaptive control actions. This approach addresses the inherent uncertainty in sensor data and dynamic environments more effectively than traditional type-1 fuzzy systems. While his citation count of 5 reflects a focused, early-stage impact, the work demonstrates a sophisticated understanding of how higher-order fuzzy sets can improve real-time robot decision-making. Dr. Ider's contributions are particularly relevant for researchers working on autonomous ground vehicles, service robotics, and human-robot interaction, where robust target tracking in unpredictable settings is critical. His research bridges theoretical advances in fuzzy logic with practical control engineering challenges.