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October 21, 2025The Journal of Open Source SoftwareOpen Access

NonSysId: Nonlinear System Identification with Improved Model Term Selection for NARMAX Models

Rajintha Gunawardena Zi–Qiang Lang Fei He

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Key Points

Nonlinear System Identification enhances predictive accuracy in complex system models, supporting efficacy.
The study shows a specific improvement in model term selection relevant to NARMAX models.
Assessment of model performance over multiple datasets reveals significant advancements in accuracy measures.
This advancement may enable greater accuracy in real-world applications and simulations of complex systems.

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Implication

Implementation of Nonlinear System Identification improves model accuracy in complex systems, suggesting better predictive performance.

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Cite This Study

Gunawardena et al. (2025) studied this question.

synapsesocial.com/papers/68fa1210f9f8b44535bfcd9a https://doi.org/10.21105/joss.08028

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