Chien-Chih Weng
Papers
5
Total Citations
96
H-Index
3
About
Chien-Chih Weng is a control systems researcher whose work centers on intelligent control theory, with particular expertise in adaptive fuzzy systems, sliding mode control, and robotic applications. His research addresses one of the core challenges in modern control engineering: designing robust controllers capable of handling uncertainty, nonlinear dynamics, and external disturbances in complex systems. Weng's most influential contributions include the development of adaptive fuzzy sliding mode control schemes for MIMO linear time-varying uncertain systems, where he introduced mechanisms to reconstruct system states using tracking error — a technique that has garnered 35 citations and influenced subsequent work in robust control design. His parallel manipulator research, incorporating H∞ tracking performance into adaptive fuzzy integral sliding mode frameworks, demonstrates his ability to bridge theoretical rigor with practical robotics applications, earning over 36 citations in its consolidated form. His observer-based adaptive neural network tracking control work further extends his expertise into learning-based approaches for robotic systems. Collectively, Weng's publications reflect a coherent research vision: making intelligent controllers both theoretically sound and practically deployable in uncertain, real-world environments — a contribution that continues to resonate across the control engineering and robotics communities.
Research Focus
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