Homogeneous Models of Nonlinear Circuits

TL;DR

This paper introduces a unified, symmetry-preserving framework for nonlinear circuit modeling using homogeneous variables, enabling broad, general reduced models without restrictive assumptions, applicable to various circuit elements including memristors.

Contribution

The paper extends linear circuit homogeneous modeling to nonlinear circuits, providing a systematic approach that maintains symmetry and generality in reduced models.

Findings

Homogeneous variables serve as effective state variables in nonlinear circuits.

The framework applies to circuits with memristors and can incorporate controlled sources.

Examples demonstrate the applicability and advantages of the approach.

Abstract

This paper develops a general approach to nonlinear circuit modelling aimed at preserving the intrinsic symmetry of electrical circuits when formulating reduced models. The goal is to provide a framework accommodating such reductions in a global manner and without any loss of generality in the working assumptions; that is, we avoid global hypotheses imposing the existence of a classical circuit variable controlling each device. Classical (voltage/current but also flux/charge) models are easily obtained as particular cases of a general homogeneous model. Our approach extends the results introduced for linear circuits in a previous paper, by means of a systematic use of global parametrizations of smooth planar curves. This makes it possible to formulate reduced models in terms of homogeneous variables also in the nonlinear context: contrary to voltages and currents (and also to fluxes and charges), homogeneous variables qualify as state variables in reduced models of uncoupled circuits without any restriction in the characteristics of devices. The inherent symmetry of this formalism makes it possible to address in broad generality certain analytical problems in nonlinear circuit theory, such as the state-space problem and related issues involving impasse phenomena, as well as index analyses of differential-algebraic models. Our framework applies also to circuits with memristors, and can be extended to include controlled sources and coupling effects. Several examples illustrate the results.