Papers
5
Total Citations
94
H-Index
5
About
Longnan Li is a leading researcher in advanced control theory for robotic systems, with a primary focus on teleoperation and robotic manipulator control. His work addresses critical challenges in ensuring stability, precision, and safety under real-world constraints such as input saturation, time delays, and unknown disturbances. Li has pioneered adaptive predefined-time and fixed-time control schemes that guarantee synchronization tracking within strict time limits, while also enforcing output error constraints to prevent system violations. His notable contributions include the development of multiapproximator-based fault-tolerant control and neuroadaptive learning frameworks that handle deferred asymmetric constraints and uniform prescribed performance. With his most cited paper, "Adaptive Practical Predefined-Time Control for Uncertain Teleoperation Systems," accumulating 64 citations, Li’s research has significantly advanced the robustness and transparency of teleoperation systems. His work is instrumental for applications in remote surgery, hazardous environment manipulation, and industrial automation, offering theoretically rigorous yet practically implementable solutions for next-generation robotic systems.
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