Junwei Lu
Papers
5
Total Citations
42
H-Index
4
About
Dr. Junwei Lu is a leading researcher in nonlinear control theory, stochastic systems, and intelligent robotics, with a focus on overcoming challenges in high-order, time-delayed, and uncertain dynamics. His work is distinguished by pioneering output-feedback and state-feedback stabilization methods that relax restrictive assumptions on system delays and unknown functions, enabling more practical and robust control designs. His most cited paper, "Neural network‐based output‐feedback control for stochastic high‐order non‐linear time‐delay systems with application to robot system" (2017, 19 citations), introduces a novel control scheme that significantly relaxes constraints on delay-dependent drift and diffusion terms using radial basis functions, with direct application to robotic systems. Dr. Lu has also advanced the field of fuzzy Markovian jump systems, developing sampled-data H∞ dynamic output feedback controllers and asynchronous filtering strategies that ensure stability and performance under mixed passivity and H∞ criteria. His contributions have garnered over 42 citations across his top works, reflecting their impact on both theoretical developments and real-world applications. Dr. Lu’s research continues to push boundaries in adaptive control, stochastic stability, and intelligent system design, offering powerful tools for engineers and researchers tackling complex, uncertain environments.
Research Focus
Key Achievements
Top Papers
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