Jianning Li

Hangzhou Dianzi University

Papers

5

Total Citations

110

H-Index

4

About

Jianning Li is a control systems researcher whose work spans robust fault-tolerant control, teleoperation systems, and mobile robotics. With a career built on addressing the practical challenges of networked and autonomous systems, Li has made significant contributions to the design of controllers capable of maintaining stability and performance under real-world imperfections such as communication delays, actuator failures, and physical constraints. Li's most influential work focuses on multilateral and bilateral teleoperation systems, where time-varying delays and unpredictable actuator faults pose serious threats to system reliability. His development of failure-distribution-dependent H∞ fuzzy fault-tolerant control frameworks — accumulating over 53 citations since 2024 — represents a notable advance in this field, offering mathematically rigorous guarantees for nonlinear systems operating under uncertainty. Earlier work from 2016 introduced fuzzy disturbance observers for bilateral teleoperation, demonstrating his long-standing expertise in intelligent control strategies. More recently, Li has expanded into wheeled mobile robot control, tackling trajectory tracking under velocity and torque constraints as well as longitudinal wheel slippage — challenging, practically relevant problems in autonomous ground vehicles. Collectively, his research reflects a coherent and evolving commitment to making complex control systems more resilient, precise, and deployable in real engineering environments.

Research Focus

Key Achievements

4
H-Index
5
Papers
110
Total Citations
22
Avg Citations/Paper
🏆 Most Cited Paper
Failure-Distribution-Dependent H∞ Fuzzy Fault-Tolerant Control for Nonlinear Multilateral Teleoperation System with Communication Delays
53 citations · 2024
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 13
🏛 Institutions: Hangzhou Dianzi University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago