Conformable fractional-order fixed-point state estimator for discrete-time nonlinear systems

Lorenz Josue Oliva-Gonzalez and Rafael Martínez-Guerra

Chaos, Solitons & Fractals, 2025, vol. 199, issue P3

Abstract: This paper presents an approach to deal with the state estimation problem in discrete-time nonlinear systems. The approach translates the state estimation problem into a root-finding problem; hence, a state estimator based on a numerical method is designed. In particular, we consider a modification of the conformable fractional-order vector Newton–Raphson method. This fractional-order numerical method has been introduced recently and presents remarkable properties compared to its integer-order version. For instance, it exhibits low computational cost, fewer iterations to achieve convergence, and mitigates divergence problems. Therefore, the proposed state estimator inherits these properties, making it an attractive alternative. On the other hand, the convergence of the state estimator is analyzed using an extension of the Banach fixed-point theorem, providing convergence conditions. Eventually, several numerical simulations are performed to evaluate the proposed approach.

Keywords: Discrete-time nonlinear systems; Conformable fractional calculus; Banach fixed-point theorem; State estimator; Conformable fractional-order state estimator; Fixed-point state estimator (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:199:y:2025:i:p3:s0960077925008380

DOI: 10.1016/j.chaos.2025.116825

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