@article{scholars6361,
             doi = {10.1007/s10470-014-0431-9},
          volume = {82},
            note = {cited By 2},
          number = {1},
           title = {High level fault modeling of analog circuits through automated model generation using Chebyshev and Newton interpolating polynomials},
            year = {2015},
           pages = {265--283},
       publisher = {Kluwer Academic Publishers},
         journal = {Analog Integrated Circuits and Signal Processing},
          author = {Xia, L. and Farooq, M. U. and Bell, I. M.},
            issn = {09251030},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84925506358&doi=10.1007\%2fs10470-014-0431-9&partnerID=40&md5=351732edcaeb76160d059ccafea3cfcb},
        keywords = {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},
        abstract = {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. {\^A}{\copyright} 2014, Springer Science+Business Media New York.}
}