Xianqiang Yang
Papers
6
Total Citations
215
H-Index
5
About
Xianqiang Yang is a researcher whose work spans robotics control, system identification, and nonlinear modeling, with particular expertise in model predictive control (MPC) and mobile robotics. His most influential contribution, "Trajectory Tracking of an Omni-Directional Wheeled Mobile Robot Using a Model Predictive Control Strategy" (2018), has accumulated 159 citations and demonstrated how MPC frameworks can significantly enhance the precision and flexibility of omni-directional robots equipped with mecanum wheels — platforms valued for their ability to rotate and translate independently and simultaneously, outperforming traditional non-holonomic designs. Complementing this, his work on path planning using potential field methods further advances autonomous mobile robot navigation. Beyond robotics, Yang has made meaningful contributions to nonlinear system identification, developing robust multiple model strategies capable of handling output data corrupted by outliers, as well as tackling the challenging problem of identifying time-delay systems in state-space form. His 2018 work on linear parameter-varying systems identification with slowly sampled outputs and unknown time-delays addresses practical industrial constraints rarely considered in conventional approaches. Together, these contributions reflect a researcher committed to bridging theoretical rigor with real-world engineering challenges.
Research Focus
Key Achievements
Top Papers
- 1
- 2Nonlinear System Identification With Robust Multiple Model Approach19 citations · 2019
- 3Robust identification of nonlinear time-delay system in state-space form11 citations · 2019
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