有特色
发表于 2025-3-23 13:40:23
Spatio-Temporal Modeling for Wiener Distributed Parameter Systems,system are estimated with the least-squares estimation and the instrumental variables method to achieve consistent estimation under noisy measurements. The simulation on the catalytic rod and the experiment on snap curing oven are presented to illustrate the effectiveness of this modeling method.
男生戴手铐
发表于 2025-3-23 14:16:35
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爱得痛了
发表于 2025-3-23 21:27:27
Nonlinear Dimension Reduction Based Neural Modeling for Nonlinear Complex DPS,on and the intelligent learning, this approach can model the nonlinear complex DPS with much more complexity. The simulation on the catalytic rod and the experiment on the snap curing oven will demonstrate the effectiveness of the presented method.
极大的痛苦
发表于 2025-3-24 00:53:40
2213-8986 esize to different methods;.some new spatio-temporal models .The purpose of this volume is to provide a brief review of the previous work on model reduction and identifi cation of distributed parameter systems (DPS), and develop new spatio-temporal models and their relevant identifi cation approache
Nucleate
发表于 2025-3-24 03:34:59
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octogenarian
发表于 2025-3-24 07:08:20
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烤架
发表于 2025-3-24 13:52:42
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nostrum
发表于 2025-3-24 17:31:01
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OMIT
发表于 2025-3-24 21:01:11
Spatio-Temporal Volterra Modeling for a Class of Nonlinear DPS,n be considered as a nonlinear generalization of Green’s function or a spatial extension of the traditional Volterra model. To obtain a low-order model, the Karhunen-Loève (.) method is used for the time/space separation and dimension reduction. Then the model can be estimated with a least-squares a
Cantankerous
发表于 2025-3-25 02:00:18
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