Abstract
When integrating several components on a chip, one may be faced with the task of combining parts which were not manufactured in house. Oftentimes, no accurate model is available for these constituents. In this scenario, one may perform measurements of each device in the frequency range of interest. This information can then be employed to construct a reduced order model which can be used in a simulator which integrates the behaviour of each component and analyzes the entire chip. This paper addresses the problem of modeling a system based on measurements of its frequency response using the concept of tangential interpolation, together with the tool of the Loewner matrix pencil. This concept is particularly useful in the context of modeling components with a large number of input and output ports. After a thorough theoretical analysis which motivates the approach and makes connections to system theory, we present two numerical results which show its applicability to different systems arising in circuit simulation.
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Anderson, B.D.O., Antoulas, A.C.: Rational interpolation and state-variable realizations. Linear Algebra Appl. 137/138, 479–509 (1990)
Antoulas, A.C.: Approximation of Large-Scale Dynamical Systems. SIAM, Philadelphia (2005)
Antoulas, A.C.: On the construction of passive models from frequency response data. Automatisierungstechnik 56, 447–452 (2008)
Antoulas, A.C., Anderson, B.D.O.: On the scalar rational interpolation problem. IMA J. Math. Control Inf. 3(2–3), 61–88 (1986)
Antoulas, A.C., Anderson, B.D.O.: State space and polynomial approaches to rational interpolation. In: Kaashoek, M., van Schuppen, J., Ran, A. (eds.) Progress in Systems and Control Theory III: Realization and Modeling in System Theory, pp. 73–82. Birkhäuser (1990)
Coelho, C., Silveira, L., Phillips, J.R.: Passive constrained rational approximation algorithm using Nevanlinna-Pick interpolation. In: DATE ’02: Proceedings of the Conference on Design, Automation and Test in Europe, pp. 923–930. Washington, DC (2002)
Deschrijver, D., Dhaene, T.: Passivity-based sample selection and adaptive vector fitting algorithm for pole-residue modeling of sparse frequency-domain data. In: Proceedings of IEEE International Conference on Behavioral Modeling and Simulation (BMAS’04), pp. 68–73 (2004)
Dhaene, T., Deschrijver, D.: Stable parametric macromodeling using a recursive implementation of the vector fitting algorithm. IEEE Microw. Wirel. Compon. Lett. 19(2), 59–61 (2009)
Feldmann, P.: Model order reduction techniques for linear systems with large numbers of terminals. In: Proceedings on Design, Automation and Test Conference in Europe, pp. 944–947 (2004)
Feldmann, P., Liu, F.: Sparse and efficient reduced order modeling of linear subcircuits with large number of terminals. In: Proceedings of IEEE/ACM International Conference on Computer-Aided Design(ICCAD’04), pp. 88–92 (2004)
Gao, R., Mekonnen, Y., Beyene, W., Schutt-Aine, J.: Black-box modeling of passive systems by rational function approximation. IEEE Trans. Adv. Packag. 28(2), 209–215 (2005)
Grivet-Talocia, S.: Package macromodeling via time-domain vector fitting. IEEE Microw. Wirel. Compon. Lett. 13(11), 472–474 (2003)
Grivet-Talocia, S., Bandinu, M.: Improving the convergence of vector fitting for equivalent circuit extraction from noisy frequency responses. IEEE Trans. Electromagn. Compat. 48, 104–120 (2006)
Gustavsen, B.: Improving the pole relocation properties of vector fitting. IEEE Trans. Power Del. 21(3), 1587–1592 (2006)
Gustavsen, B., Semlyen, A.: Rational approximation of frequency domain responses by vector fitting. IEEE Trans. Power Del. 14, 1052–1061 (1999)
Gustavsen, B., Semlyen, A.: Enforcing passivity for admittance matrices approximated by rational functions. IEEE Trans. Power Syst. 16(1), 97–104 (2001)
Gustavsen, B., Semlyen, A.: A robust approach for system identification in the frequency domain. IEEE Trans. Power Del. 19, 1167–1173 (2004)
Kailath, T.: Linear Systems. Prentice-Hall (1979)
Lefteriu, S.: New approaches to modeling multi-port scattering parameters. Master’s thesis, Rice University, Houston (2008)
Lefteriu, S., Antoulas, A.C.: A new approach to modeling multi-port systems from frequency-domain data. IEEE Trans. CAD 29(1), 14–27 (2010)
Mayo, A.J., Antoulas, A.C.: A framework for the solution of the generalized realization problem. Linear Algebra Appl. 405, 634–662 (2007)
Min, S.H., Swaminathan, M.: Construction of broadband passive macromodels from frequency data for simulation of distributed interconnect networks. IEEE Trans. Electromagn. Compat. 46(4), 544–558 (2004)
Reis, T.: Systems theoretic aspects of PDAEs and applications to electrical circuits. Ph.D. thesis, Technische Universität Kaiserslautern (2006)
Saraswat, D., Achar, R., Nakhla, M.: A fast algorithm and practical considerations for passive macromodeling of measured/simulated data. IEEE Transactions on Advanced Packaging 27(1), 57–70 (2004)
Schneider, A.: Matrix decomposition based approaches for model order reduction of linear systems with a large number of terminals. Diplomarbeit, Technische Universität Chemnitz (2008)
Triverio, P., Grivet-Talocia, S., Nakhla, M.S.: A parameterized macromodeling strategy with uniform stability test. IEEE Trans. Adv. Packag. 32(1), 205–215 (2009)
Yip, E., Sincovec, R.: Solvability, controllability, and observability of continuous descriptor systems 26(3), 702–707 (1981)
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Lefteriu, S., Antoulas, A.C. (2011). Topics in Model Order Reduction with Applications to Circuit Simulation. In: Benner, P., Hinze, M., ter Maten, E. (eds) Model Reduction for Circuit Simulation. Lecture Notes in Electrical Engineering, vol 74. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-0089-5_4
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DOI: https://doi.org/10.1007/978-94-007-0089-5_4
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