2021Unpublished venueRequires access

Newton iterative identification method for nonlinear systems

Miao Yin

Open publisher page 2 citations

Abstract

This paper discusses the identification methods for nonlinear systems. Using the Newton method and the iterative technique the Newton-based iterative algorithm is derived to determine the parameters of the nonlinear systems. In addition, in order to improve the computational efficiency, the Newton iterative algorithm based on the model transformation is derived. The basic principle is to transform a complex nonlinear system into a linear or simple nonlinear system. Finally, a numerical example is given to analyze the proposed methods.

About this research paper

What this paper is about

This paper discusses the identification methods for nonlinear systems. Using the Newton method and the iterative technique the Newton-based iterative algorithm is derived to determine the parameters of the nonlinear systems. In addition, in order to improve the computational efficiency, the Newton iterative algorithm based on the model transformation is derived. The basic principle is to transform a complex nonlinear system into a linear or simple nonlinear system. Finally, a numerical example is given to analyze the proposed methods.

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OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

This paper discusses the identification methods for nonlinear systems. Using the Newton method and the iterative technique the Newton-based iterative algorithm is derived to determine the parameters of the nonlinear systems. In addition, in order to improve the computational efficiency, the Newton iterative algorithm based on the model transformation is derived. The basic principle is to transform a complex nonlinear system into a linear or simple nonlinear system. Finally, a numerical example is given to analyze the proposed methods.

Key concepts: Nonlinear system, Newton's method, Iterative method, Newton's method in optimization, Local convergence, Computer science, Nonlinear system identification, Identification (biology)

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