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Solving over-constrained systems of non-linear interval equations - And its robotic application

Publication at Faculty of Mathematics and Physics |
2017

Abstract

This paper presents and describes in details an original method developed to solve over-constrained systems of non-linear interval equations that arise namely in parameter identification problems deriving from physical models and uncertain measurements. Our approach consists of computing an interval enclosure of the least square solution set and an inner box of tolerable solution set.

This method is applied in a detailed example and some interesting results obtained for the calibration of a cable-driven robot are shown.