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DECOMPOSITION OF NONLINEAR DYNAMICS USING MULTIPLE MODEL APPROACH AND GAP METRIC ANALYSIS
DECOMPOSITION OF NONLINEAR DYNAMICS USING MULTIPLE MODEL APPROACH AND GAP METRIC ANALYSIS
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机译：基于多模型方法和间隙度量分析的非线性动力学分解
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摘要
Multiple models for various stages of a non-linear process control are developed by clustering perturbation data obtained from the nonlinear process so as to permit multiple local data regions to be identified as a function of substantial similarity between the data, wherein the data of first data set represent the non-linear process. A discrete model corresponding to each of the local data regions is generated. The number of the discrete models may be reduced as a function of prediction error between actual outputs of the process and predicted outputs of the models and as a function of a gap metric based on closed loop similarity and frequency response similarity between the models.
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