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Articles written by Monti, A.

  1. "Robust stability and performance analysis using polynomial chaos theory" Smith, A.H.C., Monti, A., and Ponci, F.. SCSC: Proceedings of the 2007 summer computer simulation conference. San Diego, CA, USA. 2007. pp. 45--52.

  2. Lovett, T.E., Ponci, F., and Monti, A.. "A polynomial chaos approach to measurement uncertainty" IEEE Transactions on Instrumentation and Measurement. 55 (3). JUN 2006. pp. 729--736.

    Measurement uncertainty is traditionally represented in the form of expanded uncertainty as defined through the Guide to the Expression of Uncertainty in Measurement (GUM). The International Organization for Standardization GUM represents uncertainty through confidence intervals based on the variances and means derived from probability density functions. A new approach to the evaluation of measurement uncertainty based on the polynomial chaos theory is presented and compared with the traditional GUM method.