State Prediction Method and Device Based on Restoration of Physical System State

By calculating and constructing the correlation function B to automatically select the threshold, the problem of not being able to correctly restore the physical system state in a nonlinear dynamic system is solved, and a high-accurate state restoration is achieved.

CN119046582BActive Publication Date: 2025-06-03ADVANCED INST OF INFORMATION TECH (AIIT) PEKING UNIV
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Patent Information

Application Number
CN202411537232.0
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-10-31
Publication Date
2025-06-03
Estimated Expiration
2044-10-31

AI Technical Summary

Technical Problem

In the prior art, it is impossible to automatically select appropriate thresholds for nonlinear dynamic systems, resulting in the inability to correctly restore the physical system state.

Method used

By calculating the first function and the second function, reflecting the relationship between the data error and the threshold and sparseness of the restored physical system, the correlation function B is constructed to automatically select the threshold and configured as a self-selected threshold for the nonlinear dynamic system for state restoration.

Benefits of technology

It realizes that the physical system state can be restored correctly without artificially selecting the threshold, reducing the restoration error, especially during the restoration process, avoiding errors caused by missing function terms.

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Abstract

The present application discloses a state prediction method and device based on physical system state restoration. By applying the technical solution of the present application, in the sparse identification algorithm of the nonlinear dynamic system used in restoring the physical system in a certain data recognition scenario, a method of adaptively selecting a threshold for the nonlinear dynamic system can be achieved by adding a method of constructing a correlation function B with the threshold λ as an independent variable, so that the subsequent nonlinear dynamic system configured with a self-selected threshold is used to restore the state information of a physical system within a period of time. Thus, an object of correctly restoring the physical system state without manual threshold selection is achieved. It also solves the reduction error influence caused by missing function terms that may still occur in the process of using the nonlinear dynamic system to restore the physical system in the related art even when a relatively small threshold is selected.
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