Lejun Chen

University of Hull, Nanjing University of Aeronautics and Astronautics

Papers

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About

Lejun Chen’s research centers on advanced fault-tolerant control (FTC) systems, with a particular focus on actuator fault estimation and compensation in complex dynamic systems. His most influential work, “An LPV pole-placement approach to friction compensation as an FTC problem” (2012, 23 citations), introduces a novel framework that integrates robust fault estimation with controller design using Linear Parameter Varying (LPV) techniques. This approach enables active FTC by systematically addressing friction-induced uncertainties, a critical challenge in precision motion systems. Chen’s methodology allows for real-time pole placement that adapts to system variations, significantly enhancing reliability and performance under fault conditions. His recent work, “Actuator Fault Estimation for a Class of Euler-Lagrange Systems Using Super-Twisting Observers” (2025), extends these ideas to nonlinear mechanical systems, employing higher-order sliding mode observers to estimate both actuator effectiveness loss and generalized velocities. This contribution is particularly notable for its ability to handle systems with relative degree two, offering robust solutions for robotic and aerospace applications. With a citation trajectory that underscores the growing relevance of his adaptive FTC strategies, Chen’s research provides foundational tools for engineers designing resilient, self-correcting control systems.