Jiyuan Kuang

Papers

Total Citations

118

H-Index

About

Dr. Jiyuan Kuang is a leading figure in advanced robotic control systems, whose work masterfully bridges nonlinear dynamics, neural networks, and sliding-mode theory. His primary research focuses on achieving high-precision, robust trajectory tracking for uncertain robotic manipulators, tackling the fundamental challenges of system uncertainty and control singularity. Dr. Kuang’s most impactful contribution is the development of a predefined-time nonsingular terminal sliding-mode control framework, which guarantees convergence within a user-specified timeframe—a critical advance for time-sensitive automation tasks. This seminal work, published in 2022, has already garnered 118 citations, underscoring its immediate influence on the field. By integrating radial basis function neural networks to estimate unknown dynamics, Dr. Kuang eliminates the need for exact system models, making his solutions both theoretically elegant and practically deployable. His approach notably resolves the long-standing singularity problem in terminal sliding-mode control, enabling smoother, safer operation. For students and researchers, Dr. Kuang’s research represents a powerful synthesis of robust control theory and intelligent computation, offering a clear pathway to designing next-generation autonomous systems that are both fast and reliable.