Xuhui Bu
Papers
10
Total Citations
300
H-Index
6
About
Xuhui Bu is a leading researcher in advanced control theory, with a primary focus on **iterative learning control (ILC)** and **model-free adaptive control (MFAC)** for complex nonlinear systems. His work addresses critical challenges in networked control, including communication constraints, security threats, and system uncertainties. Bu’s major contributions include pioneering **event-triggered and resilient ILC schemes** that ensure system stability under fading channels and malicious cyber-attacks, such as denial-of-service (DoS) and false data injection. His highly cited papers, with over 120 and 102 citations respectively, have established foundational methods for secure, data-driven control in safety-critical applications. Beyond theoretical advances, Bu applies his techniques to practical domains, including **formation control of wheeled mobile robots**, trajectory tracking for robotic manipulators, and agricultural vehicle automation. His recent work on adaptive neural network control and prescribed performance for hybrid robots demonstrates a commitment to addressing real-world constraints like initial errors and full-state limitations. With a publication record spanning from foundational ILC theory to cutting-edge security-resilient control, Xuhui Bu’s research is essential reading for students and engineers working at the intersection of learning control, cyber-physical systems, and robotics.
Research Focus
Key Achievements
Top Papers
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- 9Iterative learning control for farm vehicle trajectory tracking3 citations · 2013
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