Xuehong Tian

About

Xuehong Tian is a leading researcher in advanced control theory, with a primary focus on finite-time and prescribed-time control for robotic systems. Her work addresses critical challenges in high-precision tracking, multi-robot coordination, and robust performance under uncertainties. Tian’s most influential contribution is her 2016 study on finite-time H∞ control for robotic manipulators, which achieved high-precision tracking without solving complex Hamilton-Jacobi equations—a breakthrough cited 87 times. She has since extended these ideas to multi-robot systems, developing predefined-time cooperative strategies with event-triggered communication and adaptive fuzzy control, as seen in her 2023 and 2025 papers. Her 2015 work on continuous output-feedback finite-time control for second-order nonlinear systems (43 citations) and her 2020 adaptive super-twisting sliding mode control for mobile robots (16 citations) further demonstrate her versatility. Tian’s research consistently integrates observer-based methods, prescribed performance, and H∞ robustness, with recent contributions addressing actuator faults and input quantization. Her cumulative work, spanning over 180 citations, has significantly advanced the practical deployment of nonlinear control in robotics, making her a key figure in modern control engineering.

Research Focus

Key Achievements

Top Papers

1. 1
   Finite-Time <inline-formula> <tex-math notation="LaTeX">${H_\infty }$</tex-math> </inline-formula> Control for High-Precision Tracking in Robotic Manipulators Using Backstepping Control

   87 citations · 2016
2. 2
   Continuous output‐feedback finite‐time control for a class of second‐order nonlinear systems with disturbances

   43 citations · 2015
3. 3
   Adaptive Super-Twisting Sliding Mode Control for Mobile Robots Based on High-Gain Observers

   16 citations · 2020
4. 4
   Robust H∞ finite-time stability control of a class of nonlinear systems

   12 citations · 2015
5. 5
   Observer-Based Adaptive Prescribed- Time <i>H</i> _∞ Coordinated Control for Multiple Robot Manipulators With Prescribed Performance and Input Quantization

   6 citations · 2024
6. 6
   Adaptive Fuzzy Event-Triggered Cooperative Control for Multi-Robot Systems: A Predefined-Time Strategy

   5 citations · 2023
7. 7
   Face Recognition System and It's Application

   5 citations · 2009
8. 8
   Fixed‐time self‐structuring neural network cooperative tracking control of multi‐robot systems with actuator faults

   3 citations · 2022
9. 9
   Observer-Based Finite-Time Control for Robotic Manipulators with Uncertainties

   3 citations · 2016
10. 10
    Predefined-Time <i>H</i> _∞ Cooperative Control for Multi-Robot Systems Based on Adjustable Prescribed Performance Control and Adaptive Command Filter

    2 citations · 2025

Key Collaborators

Contact & Links