Omid Elhaki
Papers
4
Total Citations
50
H-Index
3
About
Omid Elhaki is a rising researcher in intelligent control systems, specializing in the advanced coordination and robust control of complex robotic and vehicular platoons. His work masterfully integrates adaptive fuzzy logic, reinforcement learning, and prescribed performance control to solve challenging problems in nonlinear dynamics. Elhaki’s most cited contributions focus on the platoon formation control of underactuated systems, including off-axle hitching tractor-trailers and electrically driven car-like mobile robots. He has developed novel observer-based frameworks that ensure collision avoidance and connectivity maintenance while guaranteeing a prescribed transient and steady-state performance. His 2021 paper on robust platoon formation control, with 16 citations, is a key reference for addressing the complexities of underactuated autonomous vehicles. Further demonstrating his versatility, Elhaki has also designed robust interval type-3 neuro-fuzzy controllers for robot manipulators and proposed an observer-based adaptive robust actor-critic learning framework for saturated PID control of Euler-Lagrange systems, bridging theory and practice. With multiple papers accumulating 16 citations each, Elhaki’s work is establishing a strong foundation for safe, high-performance autonomous multi-agent systems.
Research Focus
Key Achievements
Top Papers
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