Data and code for: Dual-channel ILC with steady-state backward-inference calibration — low-cost servo joint platform

Dataset: Dual-channel ILC with steady-state backward-inference calibration — low-cost servo joint platform This repository contains the raw experimental data and the analysis/simulation code for research on iterative learning control (ILC) and excitation-free feedforward-channel calibration on a low-cost servo joint with flexible, nonlinear transmission. The dataset covers the randomized-block campaign (8 blocks × 5 strategies), the payload (60 g) calibration and robustness experiments, the platform-drift recalibration between campaigns, and all system identification data (modal, stiffness, friction, and sensing-chain characterization). If you use this dataset, please cite the associated paper(s) by Yalan Xu and Jin Tian (School of Mechano-electronic Engineering, Xidian University).