TY  - CONF
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-84877781322&doi=10.1109%2fASPDAC.2013.6509693&partnerID=40&md5=4f62a21be69d5db650c23f4c46d11773
A1  - Farooq, M.U.
A1  - Xia, L.
EP  - 772
Y1  - 2013///
SN  - 9781467330299
N1  - cited By 4; Conference of 2013 18th Asia and South Pacific Design Automation Conference, ASP-DAC 2013 ; Conference Date: 22 January 2013 Through 25 January 2013; Conference Code:96931
N2  - We introduce the concept of two dimensional (2D) scalability of trajectory piecewise linear (TPWL) through the exploitation of Chebyshev interpolating polynomials in each piecewise region. The goal of 2D scalability is to improve the local approximation properties of TPWL macromodels. Horizontal scalability is achieved through the reduction of number of linearization points along the trajectory; vertical scalability is obtained by extending the scope of macromodel to predict the response of a nonlinear system for inputs far from training trajectory. In this way more efficient macromodels are obtained in terms of simulation speed up of complex nonlinear systems. The methodology developed is to predict the nonlinear responses generated by faults introduced in Micro Electro-Mechanical Systems (MEMS) accelerometer during fabrication, that are used to obtain the seismic images for oil and gas discovery. We provide the implementation details and illustrate the 2D scalability concept with an example using nonlinear transmission line. © 2013 IEEE.
KW  - Chebyshev polynomials; Complex nonlinear system; Interpolating polynomials; Model order reduction; Nonlinear transmission lines; State space; Taylor polynomials; Vertical scalabilities
KW  -  Computer aided design; Interpolation; MEMS; Multiprocessing systems; Nonlinear systems; Piecewise linear techniques; Scalability; Trajectories
KW  -  Polynomials
SP  - 767
ID  - scholars3609
TI  - Local approximation improvement of trajectory piecewise linear macromodels through Chebyshev interpolating polynomials
CY  - Yokohama
AV  - none
ER  -