Worst Case Analysis of Random Parameter Circuits or Devices via Taylor Models Method

This paper combines the approximation capabilities of the Taylor model with the optimization performance of the Bernstein polynomials to analyze and predict the frequency-domain response of stochastic circuits affected by uncertain parameters. This method provides a more rigorous bound for circuit responses compared the formerly developed affine arithmetic, helping to improve the accuracy of worst-case predictions and uncertainty quantification.