This paper proposes a methodology based on the modified nodal analysis (MNA) automating the extraction of symbolic State-Space (STSP) models directly from electrical circuit netlists, uniquely defining outputs within the schematic itself. The high level of automation achieved significantly reduces the modeling effort and enables rapid adaptation to changes in specifications or circuit topology. Furthermore, this paper details the process by which the extracted models can be utilized to generate behavioral components for use within both analog and digital simulation environments. This ensures a consistent design flow throughout the integrated circuit (IC) design process and markedly enhancing workflow efficiency.

Automating the Use of State-Space Representations in Mixed-Signal IC Design and Verification / Stilgenbauer, Francesco; De Ferrari, Matteo; Meroni, Christiano; Ridino, Giuseppe; Macario, Cristian; Crovetti, Paolo Stefano; Bonizzoni, Edoardo; Malcovati, Piero. - STAMPA. - (2024), pp. 1-6. (Intervento presentato al convegno Design and Verification Conference and Exhibition Europe, DVCon Europe 2024 tenutosi a Munich (Ger) nel 15-16 October 2024) [10.30420/566438005].

Automating the Use of State-Space Representations in Mixed-Signal IC Design and Verification

Paolo Stefano Crovetti;
2024

Abstract

This paper proposes a methodology based on the modified nodal analysis (MNA) automating the extraction of symbolic State-Space (STSP) models directly from electrical circuit netlists, uniquely defining outputs within the schematic itself. The high level of automation achieved significantly reduces the modeling effort and enables rapid adaptation to changes in specifications or circuit topology. Furthermore, this paper details the process by which the extracted models can be utilized to generate behavioral components for use within both analog and digital simulation environments. This ensures a consistent design flow throughout the integrated circuit (IC) design process and markedly enhancing workflow efficiency.
2024
978-3-8007-6438-9
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/3000911