Method, device and equipment for generating nonlinear system model

By using piecewise linear nonlinear system models and sparse matrix compression techniques, the problem of high computational resource and time consumption in existing technologies is solved, achieving efficient and accurate generation of nonlinear system models and improving system stability and computational efficiency.

CN121598564APending Publication Date: 2026-03-03DATANG MOBILE COMM EQUIP CO LTD
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Patent Information

Application Number
CN202411161342.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-08-22
Publication Date
2026-03-03

AI Technical Summary

Technical Problem

Existing nonlinear system models have high demands on computational resources and time consumption, especially in high-order polynomial calculations where they are difficult to meet real-time operation requirements, affecting the stability and reliability of the system.

Method used

A piecewise linear nonlinear system model is adopted, combined with lookup tables (LUTs) and the least squares method. By compressing matrix information, unnecessary calculation steps are omitted, memory space and computation time are reduced, and a sparse matrix is ​​established to accelerate the calculation.

Benefits of technology

It effectively avoids higher-order term operations, improves the speed and accuracy of parameter calculation, reduces memory space usage, and enhances the generation efficiency and stability of nonlinear system models.

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Abstract

The invention provides a method, a device and equipment for generating a nonlinear system model. The method comprises the following steps: establishing a piecewise linear nonlinear system model; obtaining an input signal compression matrix according to a corresponding relation between the input signal sequence of the nonlinear system and a preset LUT; and determining a model coefficient of the nonlinear system model according to the input signal compression matrix and the output signal matrix of the nonlinear system. According to the embodiment of the invention, the parameter calculation efficiency of the nonlinear system model is effectively improved, and the nonlinear system model is efficiently and accurately obtained.
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