Yuan Ze University
🇹🇼 TW
Papers
159
Total Citations
3,339
H-Index
29
Researchers
146
About
Yuan Ze University has established itself as a distinguished research institution with deep expertise in intelligent control systems, robotics, and computational intelligence. The university's research portfolio reflects a sustained commitment to advancing the theoretical foundations and practical applications of hybrid control architectures, particularly at the intersection of fuzzy logic, neural networks, and robust control methodologies. At the core of Yuan Ze's contributions is pioneering work in fuzzy-neural-network control for robot manipulators, where researchers have consistently pushed the boundaries of high-precision position tracking under uncertain and nonlinear conditions. Their development of sliding-mode control frameworks inherited by intelligent neural-fuzzy systems has generated substantial academic impact, with flagship papers accumulating nearly 200 citations each. The introduction of the Dynamic Petri Recurrent Fuzzy Neural Network (DPRFNN) represents a particularly notable architectural innovation, finding applications ranging from mobile robot path tracking to adaptive vision-based target pursuit. Yuan Ze researchers have also made meaningful contributions to cerebellar-model-based adaptive control, fault-tolerant systems for biped robots, and recurrent wavelet neural network approaches for MIMO nonlinear systems — demonstrating impressive breadth across both theoretical development and applied robotics. Their telepresence robot designed for elderly care underscores a human-centered dimension to their work, bridging advanced control engineering with real-world social needs. More recently, the group has expanded into Type-2 fuzzy hybrid controllers, brain emotional learning architectures, and risk assessment frameworks using interval-valued fuzzy methods, signaling an agile research culture responsive to emerging challenges. Prospective students and collaborators will find in Yuan Ze a vibrant environment where rigorous mathematical control theory meets practical robotic implementation, supported by a prolific publication record and a collaborative spirit that spans industrial and humanistic applications alike.
Research Focus
Key Achievements
Top Papers
- 1
- 2Adaptive CMAC-Based Supervisory Control for Uncertain Nonlinear Systems187 citations · 2004
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- 6Tracking control based on neural network strategy for robot manipulator122 citations · 2003
- 7Intelligent Optimal Control of Single-Link Flexible Robot Arm94 citations · 2004
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Faculty & Researchers
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