Xinchen Guo

University of Shanghai for Science and Technology, Shandong University of Technology

Papers

Total Citations

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About

Xinchen Guo is a researcher in control systems and robotics, with a focus on advanced sliding mode control techniques for multi-agent and mobile robotic systems. Their work addresses critical challenges in distributed coordination and finite-time tracking, particularly for discrete-time Euler-Lagrange systems and wheeled mobile robots. Guo’s most-cited paper, "Distributed sliding mode consensus control for multiple discrete-Time Euler-Lagrange systems" (2023), has garnered 16 citations, demonstrating its impact on the field of multi-agent consensus. Their earlier work, "Finite time tracking control of mobile robot based on non-singular fast terminal sliding mode" (2018, 8 citations), introduced a hybrid algorithm combining back-stepping control with non-singular fast terminal sliding mode control. This approach not only ensures precise pose tracking but also achieves finite-time convergence of the optimal trajectory, a significant advancement for real-time robotic applications. Guo’s contributions are valuable for researchers working on robust, time-critical control in robotics and networked systems.