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A Novel Algorithm for Automated Model Generation of Analog Circuits Using Chebyshev-Newton Interpolation

Xia, Likun and Farooq, Umer and Hussin, Fawnizu Azmadi and Malik, Aamir Saeed (2012) A Novel Algorithm for Automated Model Generation of Analog Circuits Using Chebyshev-Newton Interpolation. Advanced Science Letters . ISSN 1936-6612 (In Press)

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Abstract

In this paper a novel automated model generation approach is proposed for macromodeling of analog circuits utilizing a combination of Chebyshev and Newton interpolating polynomials. The technique generates single interpolating polynomial macromodel for the entire training trajectory as compared to existing piecewise linearization approaches that generate multiple linear models that cover full nonlinear trajectories. The macromodels generated using combinations of Chebyshev-Newton (CN) polynomials are efficient in terms of both speed and accuracy than existing macromodeling solutions that utilize Taylor polynomials for linearization of nonlinear systems. We demonstrate our approach through an illustrative example and simulation results confirm that CN macromodels are faster as well as more accurate than Taylor macromodels; the proposed approach is also applicable for the inputs far from training inputs.

Item Type:Article
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Departments / MOR / COE:Centre of Excellence > Center for Intelligent Signal and Imaging Research
Departments > Electrical & Electronic Engineering
Research Institutes > Institute for Health Analytics
ID Code:8436
Deposited By: Dr. L Xia
Deposited On:22 Nov 2012 02:56
Last Modified:19 Jan 2017 08:21

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