Papers
6
Total Citations
183
H-Index
4
About
Chung-Shi Tseng is a control systems researcher whose work centers on robust tracking control, fuzzy logic systems, and intelligent control design for uncertain robotic systems. His most influential contribution, "Robust Tracking Enhancement of Robot Systems Including Motor Dynamics: A Fuzzy-Based Dynamic Game Approach" (1998), has accumulated 131 citations and established his reputation in the field by introducing an adaptive fuzzy cancellation technique combined with a minimax controller to address parameter perturbations and external disturbances in robotic systems. This foundational work sparked meaningful academic dialogue, including a published commentary in 2002 that further refined understanding of fuzzy universal approximators in this context. Building on this foundation, Tseng extended his research into multiobjective control frameworks, developing PID controllers enhanced with neural network elimination schemes and sliding-mode control to simultaneously satisfy H₂ and H∞ performance criteria alongside regional pole constraints — work that earned 38 citations. His subsequent research pursued increasingly sophisticated mixed H₂/H∞ adaptive tracking strategies, integrating fuzzy and neural network methodologies to handle persistent disturbances and constrained robot dynamics. Across his career, Tseng has made consistent contributions to bridging intelligent computational techniques with classical robust control theory, offering practical solutions to real-world uncertainties in robotic systems.
Research Focus
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