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

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  • Alexandre dit Sandretto, Julien
  • Hladík, Milan

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.

Suggested Citation

  • Alexandre dit Sandretto, Julien & Hladík, Milan, 2017. "Solving over-constrained systems of non-linear interval equations – And its robotic application," Applied Mathematics and Computation, Elsevier, vol. 313(C), pages 180-195.
    • Handle: RePEc:eee:apmaco:v:313:y:2017:i:c:p:180-195
    DOI: 10.1016/j.amc.2017.05.077
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    References listed on IDEAS

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    1. Hladík, Milan & Popova, Evgenija D., 2015. "Maximal inner boxes in parametric AE-solution sets with linear shape," Applied Mathematics and Computation, Elsevier, vol. 270(C), pages 606-619.
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