2014
DOI: 10.1109/tim.2014.2313958
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Numerical Derivation-Based Serial Iterative Dynamic Decoupling-Compensation Method for Multiaxis Force Sensors

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Cited by 9 publications
(1 citation statement)
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“…Some effective methods are reported in the literature to model and calibrate CMSs. These methods include polynomial models and autoregressive moving average models [22], homogeneous coordinate transformation (HTM) methods [23], neural network based methods [24][25][26][27][28], D-H models [29,30], fuzzy error interpolation techniques [31], iterative learning and decoupling methods [32,33], recursive least squares identification 3 techniques [34], Monte Carlo method [35] and other analytical methods [36][37][38][39][40][41].…”
Section: Introductionmentioning
confidence: 99%
“…Some effective methods are reported in the literature to model and calibrate CMSs. These methods include polynomial models and autoregressive moving average models [22], homogeneous coordinate transformation (HTM) methods [23], neural network based methods [24][25][26][27][28], D-H models [29,30], fuzzy error interpolation techniques [31], iterative learning and decoupling methods [32,33], recursive least squares identification 3 techniques [34], Monte Carlo method [35] and other analytical methods [36][37][38][39][40][41].…”
Section: Introductionmentioning
confidence: 99%