Papers
60
Total Citations
1,740
H-Index
22
About
Jian-Xin Xu is a prominent control systems researcher whose work spans iterative learning control, sliding-mode control, fuzzy logic systems, and bio-inspired robotics. He has made foundational contributions to the theory and real-world implementation of advanced control methodologies, with a particular focus on underactuated and nonlinear systems. Xu's most cited work — a 2013 paper with 316 citations — pioneered the application of integral sliding-mode control to a two-wheeled mobile robot, an inherently unstable underactuated platform. Complementing this, his fuzzy logic controller implementation on the same platform (115 citations) demonstrated versatile approaches to balancing and position control. His sustained contributions to iterative learning control (ILC), dating back to a 1997 analysis of nonlinear discrete-time systems (120 citations), established him as a leading voice in repetitive control theory, extended through landmark work on robotic manipulators and time-varying systems. Notably, Xu applied ILC to robotic fish locomotion (109 citations), achieving precise speed tracking in real time — bridging rigorous control theory with bio-inspired robotics. His 2008 monograph on real-time ILC further cemented his influence on practitioners and researchers alike. Across a career spanning over two decades, Xu's work has collectively garnered nearly 1,000 citations, reflecting deep and lasting impact on both theoretical control science and intelligent robotic systems.
Research Focus
Key Achievements
Top Papers
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- 4Precise Speed Tracking Control of A Robotic Fish via Iterative Learning Control109 citations · 2015
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- 7Real-time Iterative Learning Control: Design and Applications74 citations · 2008
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