%0 Journal Article
%@ 09251030
%A Xia, L.
%A Farooq, M.U.
%A Bell, I.M.
%D 2015
%F scholars:6361
%I Kluwer Academic Publishers
%J Analog Integrated Circuits and Signal Processing
%K Analog circuits; Automation; Computer hardware description languages; Electric lines; Interpolation; MATLAB; Polynomials; State space methods; Timing circuits; Transient analysis; Transmissions, Automated model generations; Chebyshev polynomials; High-level fault models; Newton polynomials; Nonlinear transmission lines; VHDL-AMS, SPICE
%N 1
%P 265-283
%R 10.1007/s10470-014-0431-9
%T High level fault modeling of analog circuits through automated model generation using Chebyshev and Newton interpolating polynomials
%U https://khub.utp.edu.my/scholars/6361/
%V 82
%X With the help of automated model generation (AMG), high level modeling (HLM) of analog circuits is able to provide useful speedup and acceptable accuracy compared with standard SPICE-level circuit simulation. Unfortunately, this is not the case for high level fault modeling (HLFM) and high level fault simulation (HLFS). This is still a critical issue that industry is facing in reducing analog testing cost. We present a novel algorithm using a fusion of Chebyshev and Newton interpolating polynomials (CNIP) in nonlinear state-space (ss) termed AMG-CNIP for HLFM in analog circuits. It is written in MATLAB and the hardware description language (HDL) VHDL-AMS, respectively. The properties of AMG-CNIP are investigated by modeling nonlinear transmission line circuits using transient analysis. Results show that the AMG-CNIP models can handle both linear and nonlinear fault simulations with reasonable accuracy, and simulation speedup is achieved compared to standard SPICE-level simulations. © 2014, Springer Science+Business Media New York.
%Z cited By 2