Equilibrium and stability of coupled nonlinear energy-storing components

Coupled systems of nonlinear components occur across physics and engineering and can display rich behaviors such as multistability, snap-through, and memory. These phenomena play a key role in physical intelligence, where functional behavior emerges from structure rather than algorithmic control. Yet, predicting the equilibrium states and stability of these systems is challenging due to intricate energy landscapes and the presence of multiple, often disconnected, equilibria. Here, we introduce a general static framework based on a parametric space in which each point represents an element-level equilibrium. In this space, system-level equilibria appear as a one-dimensional manifold, enabling their visualization without the ambiguities that appear in conventional displacement maps. By combining this formulation with a continuation strategy and a local stability assessment, the method traces both stable and unstable equilibria, including isolated isolas inaccessible by standard loading paths. We validate the method experimentally in the mechanical domain using coupled nonlinear-spring and inflatable systems, achieving quantitative agreement between predictions and measurements. This unifying approach offers a powerful tool for the design and analysis of nonlinear coupled systems, enabling systematic exploration of their equilibrium landscapes across disciplines.

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Publication Details

Journal
Proceedings of the National Academy of Sciences
Published
2026-07-23
DOI
https://doi.org/10.1073/pnas.2608042123
Primary Topic
Control and Stability of Dynamical Systems
Type
article
Field-Weighted Citation Impact
0.00

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article

Equilibrium and stability of coupled nonlinear energy-storing components

Benjamin Gorissen, Franco N. Piñan Basualdo
Proceedings of the National Academy of Sciences
Control and Stability of Dynamical Systems
article

Equilibrium and stability of coupled nonlinear energy-storing components

Benjamin Gorissen, Franco N. Piñan Basualdo
article en

Abstract

Coupled systems of nonlinear components occur across physics and engineering and can display rich behaviors such as multistability, snap-through, and memory. These phenomena play a key role in physical intelligence, where functional behavior emerges from structure rather than algorithmic control. Yet, predicting the equilibrium states and stability of these systems is challenging due to intricate energy landscapes and the presence of multiple, often disconnected, equilibria. Here, we introduce a general static framework based on a parametric space in which each point represents an element-level equilibrium. In this space, system-level equilibria appear as a one-dimensional manifold, enabling their visualization without the ambiguities that appear in conventional displacement maps. By combining this formulation with a continuation strategy and a local stability assessment, the method traces both stable and unstable equilibria, including isolated isolas inaccessible by standard loading paths. We validate the method experimentally in the mechanical domain using coupled nonlinear-spring and inflatable systems, achieving quantitative agreement between predictions and measurements. This unifying approach offers a powerful tool for the design and analysis of nonlinear coupled systems, enabling systematic exploration of their equilibrium landscapes across disciplines.

Proceedings of the National Academy of SciencesVol. 123(30)
KU Leuven (BE)
HORIZON EUROPE Framework Programme
Affordable and clean energy
Openalex Percentile: Top 11%
Control and Stability of Dynamical Systems
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