Chan Ho Han
Papers
1
Total Citations
4
H-Index
1
About
Chan Ho Han is a researcher whose work lies at the intersection of control theory and optimization, with a particular focus on extremum seeking control and derivative-free optimization. His most-cited paper, "Obstacle avoidance extremum seeking control based on constrained derivative-free optimization" (2017), has garnered 4 citations, reflecting a niche but impactful contribution to the field. This work introduces a novel approach to real-time optimization in dynamic environments, enabling systems to navigate obstacles while seeking optimal performance—a critical capability for autonomous robotics and adaptive industrial processes. By integrating constraint handling into derivative-free methods, Han addresses a key challenge in control systems: maintaining safety and efficiency under uncertainty. While his citation count remains modest, the specificity of his research suggests a targeted influence on practitioners developing robust, real-time control strategies. Han’s contributions are particularly relevant for students and researchers exploring how optimization algorithms can be adapted for practical, constraint-heavy applications, offering a bridge between theoretical frameworks and real-world deployment. His work underscores the importance of marrying algorithmic rigor with engineering pragmatism.
Research Focus
Key Achievements
Top Papers
- 1