DATA ANALYTIC ENGINE TOWARDS THE SELF-MANAGEMENT OF COMPLEX PHYSICAL SYSTEMS
First Claim
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1. A method for modeling system dynamics, comprising:
- extracting features representative of a temporal evolution of a dynamical system, including;
deriving one or more vector trajectories by performing sliding window segmentation of one or more time series;
applying a linear test to determine whether the one or more vector trajectories are linear or nonlinear; and
performing linear or nonlinear subspace decomposition on the vector trajectory based on the linear test; and
generating, using a processor, a system evolution model from the extracted features of the dynamical system; and
determining a fitness score of the system evolution model.
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Abstract
Systems and method for modeling system dynamics, including extracting features representative of a temporal evolution of a dynamical system, further including deriving one or more vector trajectories by performing sliding window segmentation of one or more time series; applying a linear test to determine whether the one or more vector trajectories are linear or nonlinear; and performing linear or nonlinear subspace decomposition on the vector trajectory based on the linear test. The system and method may generate a system evolution model from the extracted features of the dynamical system and determine a fitness score of the system evolution model.
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12 Claims
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1. A method for modeling system dynamics, comprising:
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extracting features representative of a temporal evolution of a dynamical system, including; deriving one or more vector trajectories by performing sliding window segmentation of one or more time series; applying a linear test to determine whether the one or more vector trajectories are linear or nonlinear; and performing linear or nonlinear subspace decomposition on the vector trajectory based on the linear test; and generating, using a processor, a system evolution model from the extracted features of the dynamical system; and determining a fitness score of the system evolution model. - View Dependent Claims (2, 3, 4, 5, 6)
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7. A system for modeling system dynamics, comprising:
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a processor configured to extract features representative of a temporal evolution of a dynamical system, including; a sliding window segmentation module configured to derive one or more vector trajectories of one or more time series; a linear testing module configured to determine whether the one or more vector trajectories are linear or nonlinear; and a subspace decomposition module configured to perform linear or nonlinear subspace decomposition on the vector trajectory based on the linear test; and a modeling module configured to generate a system evolution model from the extracted features of the dynamical system; and an analytic engine configured to determine a fitness score of the system evolution model. - View Dependent Claims (8, 9, 10, 11, 12)
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Specification