Seong-Ik Han
Papers
24
Total Citations
1,118
H-Index
15
About
Seong-Ik Han is a prominent researcher specializing in intelligent control systems, nonlinear dynamics, and robotics, with particular expertise in adaptive fuzzy neural networks, prescribed performance control, and sliding mode techniques. His most influential contribution, "Fuzzy Echo State Neural Networks and Funnel Dynamic Surface Control" (2013, 233 citations), introduced a groundbreaking framework combining fuzzy echo state networks with funnel-based dynamic surface control to guarantee prescribed tracking performance in complex MIMO nonlinear systems. This work, alongside companion studies on recurrent fuzzy neural network backstepping and improved prescribed performance constraints — each garnering nearly 100 citations — established Han as a leading voice in output-constrained nonlinear control theory. Beyond theoretical contributions, Han has made significant practical advances in robotics, developing dynamic-model-based control schemes for unicycle robots and robust compensation strategies for manipulators afflicted by deadzone, friction, and disturbance. His 2017 research on finite-time sliding mode control for multi-agent mobile robot formations further demonstrates his ability to bridge graph theory and distributed control. Collectively, his publications have accumulated over 900 citations, reflecting sustained international recognition and considerable influence on both the adaptive control and intelligent robotics research communities.
Research Focus
Key Achievements
Top Papers
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- 9Decoupled Dynamic Control for Pitch and Roll Axes of the Unicycle Robot63 citations · 2012
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