Dezhi Xu

Papers

Total Citations

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About

Dezhi Xu is a leading researcher in multiagent systems and nonlinear control, whose work bridges theoretical rigor with practical robotics applications. His most influential contribution, the 2022 paper on "Event-Triggered Bipartite Time-Varying Formation Control for Multiagent Systems With Unknown Inputs" (47 citations), pioneers a novel framework for achieving coordinated formation control on signed digraphs—where agents can have both cooperative and antagonistic interactions—while handling external disturbances and unknown leader inputs. This work is critical for autonomous swarms operating in contested or adversarial environments. Xu also advances robotic manipulation through "Fuzzy model predictive control for 2-DOF robotic arms" (8 citations), offering a model-based alternative to traditional PID controllers that simplifies tuning for nonlinear systems. Most recently, his 2025 study on "Uncertainty-Handling Balance of a Unicycle Robot with Low-Power Flywheels" (2 citations) tackles the formidable challenge of stable, high-speed locomotion under severe actuator constraints, demonstrating robust balance control in uncertain conditions. With a career spanning foundational theory to cutting-edge hardware, Xu’s research is essential reading for engineers developing resilient, energy-efficient autonomous systems.