Model predictive control (MPC) is a reliable strategy for motor drives, and cascade MPC (CMPC) integrating speed and current loops offers superior dynamic performance. However, CMPC is highly sensitive to parameter mismatches and load disturbances. To eliminate the dependence on motor parameters and avoid observers, th...
LiDAR–Inertial Odometry (LIO) has been widely adopted for autonomous navigation due to its high-precision state estimation capability. However, existing LIO systems still face two major challenges. First, most methods rely on the assumption of static environments and therefore suffer from performance degradation when d...
Shuai Zhou, Xiao-Su Xu, Tao Zhang et al.· Measurement science and tech...· 0 citations
LiDAR localization and mapping play an important role in mobile robotics and autonomous driving systems, but points from dynamic objects in urban environments can be incorrectly associated with the local map during scan-to-map registration, introducing erroneous constraints into pose estimation and thereby degrading lo...
Nuo Li, Yi-Qing Yao, Xiao-Su Xu et al.· IEEE Transactions on Instrum...· 0 citations
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