Papers
16
Total Citations
407
H-Index
9
About
Kuang-Yow Lian is a distinguished researcher whose work spans robotics, control systems, and intelligent computing, with particular expertise in constrained robot manipulation, nonholonomic systems, and adaptive fuzzy control. His early landmark contribution, "Controllability of Spacecraft Systems in a Central Gravitational Field" (1994, 75 citations), established foundational insights into attitude and orbital dynamics using Lie group theory, demonstrating his command of both mathematical rigor and applied control engineering. He has made substantial contributions to robot motion and force control, notably through his sliding-mode and robust adaptive controllers for constrained manipulators, which address real-world challenges such as parametric uncertainties and external disturbances. His work on cooperative multirobot systems introduced semi-decentralized adaptive fuzzy frameworks achieving H∞ performance guarantees, reflecting a sophisticated blend of classical and intelligent control methodologies. Lian has also advanced autonomous vehicle navigation, developing fuzzy gain scheduling strategies for parallel parking car-like robots. More recently, he has expanded into machine learning and speech processing, proposing hybrid CNN-LSTM architectures augmented by voice conversion techniques for keyword recognition (2022, 33 citations). Collectively, his publications have amassed hundreds of citations, underscoring his enduring influence across multiple engineering disciplines.
Research Focus
Key Achievements
Top Papers
- 1Controllability of spacecraft systems in a central gravitational field75 citations · 1994
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- 4Sliding-mode motion/force control of constrained robots44 citations · 1998
- 5Fuzzy gain scheduling for parallel parking a car-like robot35 citations · 2005
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- 8Parallel parking a car-like robot using fuzzy gain scheduling20 citations · 2003
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- 10Leader-Follower Mobile Robots Control Based on Light Source Detection7 citations · 2019