Lin‐Xing Xu
Papers
2
Total Citations
39
H-Index
2
About
Lin-Xing Xu is a leading researcher in the field of intelligent control and multi-agent systems, with a core focus on fault diagnosis, fault-tolerant control, and adaptive estimation for complex nonlinear networks. Their major contributions lie in developing sophisticated distributed frameworks that enable autonomous systems to maintain performance and safety even when individual agents experience failures. In their highly cited 2018 work, “Cooperative Fault Diagnosis for Uncertain Nonlinear Multiagent Systems Based on Adaptive Distributed Fuzzy Estimators” (33 citations), Xu pioneered a cooperative scheme where neighboring agents use adaptive fuzzy estimators to detect and isolate component and sensor faults, preventing cascading failures across the network. Building on this, their 2024 paper on “Event-triggered adaptive fault-tolerant control for heterogeneous nonlinear multi-agent systems” (6 citations) advances the state of the art by addressing the more realistic scenario of heterogeneous agents with unknown parameters and actuator failures, using an event-triggered mechanism to reduce communication load. This work is particularly notable for its practical relevance to real-world systems like drone swarms or robotic teams. Xu’s research is essential reading for engineers and students working on resilient, autonomous multi-agent systems.
Research Focus
Key Achievements
Top Papers
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