TY  - CONF
AV  - none
KW  - Automated model generations; Chebyshev polynomials; Complex nonlinear system; Interpolating polynomials; Model order reduction; Nonlinear transmission lines; State space; Taylor polynomials
KW  -  Intelligent systems; Interpolation; Nonlinear systems; Piecewise linear techniques; Scalability; Trajectories
KW  -  Polynomials
ID  - scholars3610
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-84877762288&doi=10.1109%2fISMS.2013.28&partnerID=40&md5=09bc6d658393827e59f7e092169700ca
CY  - Bangkok
SN  - 21660662
TI  - Automated model generation of analog circuits through modified trajectory piecewise linear approach with cheby shev newton interpolating polynomials
SP  - 605
EP  - 609
N1  - cited By 2; Conference of 4th International Conference on Intelligent Systems, Modelling and Simulation, ISMS 2013 ; Conference Date: 29 January 2013 Through 31 January 2013; Conference Code:96878
Y1  - 2013///
A1  - Farooq, M.U.
A1  - Xia, L.
A1  - Hussin, F.A.B.
A1  - Malik, A.S.
N2  - In this paper we propose an efficient scalability approach for the trajectory piecewise linear (TPWL) macro models through the utilization of Chebyshev interpolating polynomials in each piecewise region. The scalability achieved is in two dimensions (2D) that mainly improve the local approximation properties of TPWL macro models. Horizontal scalability is achieved by decreasing the number of linearization points along the trajectory, vertical scalability is obtained by extending the range of macro model to predict the response of a nonlinear system for inputs far from training trajectory. In this way more efficient macro models are obtained in terms of simulation speed up of complex nonlinear systems. We provide the implementation details and illustrate the 2D scalability concept with an example using nonlinear transmission line. © 2013 IEEE.
ER  -