Sangtae Ahn
Papers
2
Total Citations
16
H-Index
2
About
Sangtae Ahn is a pioneering researcher at the intersection of intelligent control systems, multi-agent networks, and robotic perception. His work is distinguished by its focus on resilience and adaptability in complex, uncertain environments. Ahn’s most impactful contributions lie in developing advanced control frameworks for fractional-order multi-agent networked systems (FOMANSs). His highly cited 2025 paper introduces an intelligent, resilient security control method that integrates reinforcement learning with event-triggered communication mechanisms. This work directly addresses critical challenges such as unknown system dynamics, actuator faults, and denial-of-service (DoS) attacks, offering a robust solution for next-generation networked systems. With 9 citations in a short period, this research signals a significant and growing influence. Earlier, Ahn made notable strides in robotics, particularly in sensor fusion for mobile robot localization. His 2010 work on Bayesian sensor fusion, combining monocular vision with a laser structured light sensor, achieved 7 citations and demonstrated a practical, complementary approach to robust localization in structured environments. Ahn’s research is essential reading for those interested in resilient control, reinforcement learning, and intelligent robotic systems.
Research Focus
Key Achievements
Top Papers
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