Abdeljalil El Kari
Papers
7
Total Citations
56
H-Index
5
About
Abdeljalil El Kari is a researcher specializing in intelligent control systems, robotics, and computational intelligence, with particular expertise in fuzzy logic, sliding mode control, and mobile robot navigation. His most impactful contributions lie in the development of robust adaptive interval type-2 fuzzy sliding mode control frameworks for complex nonlinear systems. His 2018 work on robot manipulator control, which has garnered 22 citations, introduced a pioneering approach using adaptive interval type-2 fuzzy logic systems to handle dynamic uncertainties and unknown disturbances in n-link robotic arms — a significant advancement over conventional type-1 fuzzy methods. A companion study extending this framework to MIMO nonlinear systems further cemented his standing in robust control design, accumulating 13 citations. Beyond theoretical control, El Kari has made meaningful strides in mobile robotics, designing intelligent behavior-fusion architectures implemented on FPGA platforms and developing hybrid metaheuristic algorithms — including a PSO-GWO hybrid and an improved Elephant Herding Optimization — for optimal path planning in uncertain environments. His work bridges rigorous mathematical control theory with practical autonomous systems applications, making him a valuable contributor to the growing field of intelligent robotics and adaptive control engineering.
Research Focus
Key Achievements
Top Papers
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- 7Path Planning Using Particle Swarm Optimization and Fuzzy Logic2 citations · 2020