发明名称 |
METHOD FOR DETECTING TIME DEPENDENT MODES OF DYNAMIC SYSTEMS |
摘要 |
The invention relates to a method for detecting modes of a dynamic system comprising a plurality of modes having respectively a set alpha (t) of characteristic system parameters. According to this method, a chronological series of at least one system variable x(t) is subject to a modelling, such as a switch segmentation, designed to detect a predetermined prediction model, such as a neuronal network relative to a corresponding system mode, in each time interval with a predetermined minimal length for each system variable x(t). After modelling the chronological series, a drift segmentation is performed wherein, a sequence of mixed prediction models is detected in each time interval where the system shifts from a first system mode to a second system mode, said sequence being a result of a linear twin superposition of the prediction models of both system modes. |
申请公布号 |
WO9914686(A3) |
申请公布日期 |
1999.05.06 |
申请号 |
WO1998EP05793 |
申请日期 |
1998.09.11 |
申请人 |
MAX-PLANCK-GESELLSCHAFT ZUR FOERDERUNG DER WISSENSCHAFTEN E.V.;GMD - FORSCHUNGSZENTRUM INFORMATIONSTECHNIK GMBH;PAWELZIK, KLAUS;MUELLER, KLAUS-ROBERT;KOHLMORGEN, JENS |
发明人 |
PAWELZIK, KLAUS;MUELLER, KLAUS-ROBERT;KOHLMORGEN, JENS |
分类号 |
G06F19/00;A61B5/0476;G05B13/02;G05B13/04;G05B17/02;G06F17/00;G06N99/00 |
主分类号 |
G06F19/00 |
代理机构 |
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代理人 |
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主权项 |
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地址 |
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