Gain Estimation Method of Dynamic System Based on Steady-state Value of Historical Data
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A technology of dynamic systems and historical data, applied in complex mathematical operations and other directions, can solve problems such as inability to estimate steady-state gains, and achieve the effect of overcoming time-consuming
What is AI technical title?
AI technical title is built by PatSnap AI team. It summarizes the technical point description of the patent document.
A technology of dynamic systems and historical data, applied in complex mathematical operations and other directions, can solve problems such as inability to estimate steady-state gains, and achieve the effect of overcoming time-consuming
CN109753634BActive 📅 Publication Date: 2020-08-11SHANDONG UNIV OF SCI & TECH
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[0040] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.
[0041] It should be pointed out that the following detailed description is exemplary and intended to provide further explanation to the present application. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.
[0042] It should be noted that the terminology used here is only for describing specific implementations, and is not intended to limit the exemplary implementations according to the present application. As used herein, unless the context clearly dictates otherwise, the singular is intended to include the plural, and it should also be understood that when the terms "comprising" and / or "comprising" are used in this specification, they mean There are features, steps, operations, means, components and / or combinatio...
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Abstract
The invention provides a dynamic system gain estimation method based on a historical data steady-state value, and the method comprises the steps: firstly, dividing an input time sequence and an outputtime sequence into short data segments through employing a linear segmentation representation method, and finding out data segments with input and output being in a steady state at the same time; calculating input and output steady-state values from the data segment under the steady-state condition; elements, in the steady-state values, associated with the same steady-state gain in statistical significance are found, the elements are divided into one group, the steady-state gain of each group is estimated, and interval estimation of estimation parameters is given. According to the method, theinput and output steady-state values can be automatically found in the historical data sample, a plurality of steady-state gains under different working conditions can be accurately and effectively estimated, verification is carried out through a visualization method, and the problems that the time consumption for searching the steady-state values is long, the steady-state values are easily influenced by nonlinearity and the steady-state gain change is difficult to detect are solved.
Description
technical field [0001] The invention relates to a dynamic system gain estimation method based on historical data steady state value. Background technique [0002] Steady-state gain is the fundamental information needed for dynamic system control, diagnostics, and optimization. The characteristics of dynamic systems in the real-time operation stage are often different from those in the design stage. Therefore, the steady-state gains obtained in the phase of designing a dynamic system are usually not available in the real-time operation phase and must be updated. In addition, many dynamical systems are inherently nonlinear, so their steady-state gains tend to change as the dynamical system rests at different operating points. [0003] At present, two methods are commonly used to estimate the steady-state gain: a practical method is to obtain the steady-state values of the input and output of the dynamic system through some special tests to estimate the steady-state gain. ...
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