Dingli Yu

Liverpool John Moores University, Northwestern Polytechnical University

Papers

Total Citations

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About

Dingli Yu is a leading researcher in intelligent control systems, multi-robot coordination, and embodied manipulation. His work bridges theoretical advances in fault-tolerant control with practical applications in robotics and autonomous systems. His highly cited 2019 paper, *Fault Tolerant Control for Nonlinear Systems Using Sliding Mode and Adaptive Neural Network Estimator* (19 citations), introduced a novel scheme that combines sliding mode control with neural network estimation to maintain stability in post-fault dynamics—critical for robotic and aeronautical systems. This contribution has been influential in developing safer, more resilient autonomous platforms. Yu further advanced multi-robot systems with his 2021 work, *A Virtual Force Interaction Scheme for Multi-Robot Environment Monitoring* (18 citations), which proposed an innovative interaction framework for coordinated environmental sensing. Most recently, his 2025 paper, *Temporal Consistent Multi-View Perception for Robust Embodied Manipulation*, demonstrates his ongoing impact in perception-driven robotics. With a total of 38 citations across his most-cited works, Yu’s research continues to shape the fields of nonlinear control, fault tolerance, and multi-agent systems, offering practical solutions for real-world robotic challenges.