ISCAS 2001. The 2001 IEEE International Symposium on Circuits and Systems (Cat. No.01CH37196)
DOI: 10.1109/iscas.2001.922081
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An efficient algorithm for finding multiple DC solutions based on Spice oriented Newton homotopy method

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Cited by 16 publications
(12 citation statements)
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“…Even we combine the sine-cosine circuit and the Fourier transformation circuit, we cannot obtain unstable region of the frequency curve, because we set the frequency as time in Spice to solve the sine-cosine circuits. In this section, we explain the Solution Tracing Circuit (STC) (8) (9) realizing the arc-length method (10) (11) .…”
Section: Solution Tracing Circuitmentioning
confidence: 99%
“…Even we combine the sine-cosine circuit and the Fourier transformation circuit, we cannot obtain unstable region of the frequency curve, because we set the frequency as time in Spice to solve the sine-cosine circuits. In this section, we explain the Solution Tracing Circuit (STC) (8) (9) realizing the arc-length method (10) (11) .…”
Section: Solution Tracing Circuitmentioning
confidence: 99%
“…The matrix C satisfies the conditions (14) and (15). N is a diagonal matrix having nonpositive diagonal elements (−∂ i ), i = 1, .…”
Section: B Preliminariesmentioning
confidence: 99%
“…Only a few methods have been proposed in this area, e.g. [15]- [23]. The paper [15] offers a simulator to find the multiple DC solutions, based on the Newton homotopy method, employing the transient analysis of SPICE.…”
Section: Introductionmentioning
confidence: 99%
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“…Using the circuit, all kinds of the nonlinear devices such as bipolar transistors and MOSFETs are transformed into the corresponding HB modules. Combining with them, a given circuit is transformed into the equivalent HB circuit in the schematic form or net-list [16], [17], which corresponds to the determining equation of HB method and can be solved by DC analysis of Spice simulator or solution curve tracing method [18], [19]. Thus, our HB method can continuously calculate the characteristic curves like as Volterra series method.…”
Section: Introductionmentioning
confidence: 99%