Po‐Hsun Chen

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About

Po-Hsun Chen is a robotics and control systems researcher whose work focuses on the stabilization and fuzzy control of complex robotic systems. His primary research areas include Takagi-Sugeno (T-S) fuzzy modeling, Linear Parameter Varying (LPV) systems, and the application of advanced control strategies to mobile and articulated robots. Chen’s major contributions lie in developing stabilization conditions for nonlinear robotic systems, particularly for truck-trailer mobile robots and two-link arm robots. His 2012 paper on stabilizing truck-trailer mobile robot systems via discrete LPV T-S fuzzy models has garnered 5 citations, while his 2011 work on fuzzy control for two-link arm robots—which notably incorporates stochastic behavior analysis for systems with movable supportive bases—has received 3 citations. These studies demonstrate his ability to bridge theoretical control frameworks with practical robotic applications, addressing real-world challenges in system stability and uncertainty. Chen’s research is valuable for engineers and researchers working on intelligent control systems, offering rigorous mathematical foundations for designing robust controllers in robotics and automation.