In this paper, we propose an approach to the identification of multivariate posynomial models based on the expansion on a given large-scale basis of monomials.

Nov 18, 2013 · In this draft, we propose an approach to the identification of multivariate posynomial models, based on the expansion on a given large-scale basis of monomials.

In this paper, we propose an approach to the identification of multivariate posynomial models based on the expansion on a given large-scale basis of monomials.

In this paper, we propose an approach to the identification of multivariate posynomial models, based on the expansion on a given large-scale basis of monomials.

Mar 14, 2014 · Abstract. Posynomials are nonnegative combinations of monomials with pos- sibly fractional and both positive and negative exponents.

Jun 10, 2024 · In this paper, we outline an approach to the identification of both multivariate polynomial and posynomial models, based on the expansion on a ...

Nov 18, 2013 · This paper outlines an approach to the identification of both multivariate polynomial and posynomial models, based on the expansion on a ...

Posynomials are nonnegative combinations of monomials with possibly fractional and both positive and negative exponents. Posynomial models are widely used ...

TL;DR: This paper proposes an approach to the identification of multivariate posynomial models based on the expansion on a given large-scale basis of ...

This notebook gives an overview of the Sparse Identification of Nonlinear Dynamical systems (SINDy) method and discusses the relationship between SINDy and ...