Papers

2

Total Citations

13

H-Index

2

About

Jian Ding is a researcher whose work spans two distinct but forward-looking domains: robust control systems and human-robot interaction. In the field of control theory, Ding has made meaningful contributions through the development of parameter-dependent Lyapunov function-based frameworks for iterative learning control, addressing the challenging problem of uncertain discrete linear systems operating under actuator faults. This work, which employs stability theory for linear repetitive processes to design fault-tolerant control algorithms for polytopic uncertain systems, has garnered 9 citations and reflects a rigorous mathematical approach to real-world control challenges. More recently, Ding has ventured into the cutting edge of space robotics and multimodal interaction, proposing a novel DMS-SK/BLSTM-CTC hybrid network that fuses gesture and speech recognition to enable intuitive communication between astronauts and lunar robots. This research, motivated by the demanding requirements of future manned lunar exploration missions, represents a compelling intersection of deep learning and human-robot collaboration. With citations accumulating across both domains, Ding's portfolio demonstrates a versatile researcher capable of bridging classical control engineering with emerging intelligent systems technologies.

Research Focus

Key Achievements

2
H-Index
2
Papers
13
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Parameter‐dependent Lyapunov function‐based robust iterative learning control for discrete systems with actuator faults
9 citations · 2016
📈 Most Prolific Year: 2016 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Jiangnan University, Wuhan University of Science and Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago