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- W2016098536 abstract "Multivariable additive NARX (nonlinear autoregressive with exogenous inputs) modeling of process systems is presented. The model structure is similar to that of a generalized additive model (GAM) and is estimated with a nonlinear canonical variate analysis (CVA) algorithm called CANALS. The system is modeled by partitioning the data into two groups of variables. The first is a collection of future outputs, and the second is a collection of past input and outputs and future inputs. This approach is similar to linear subspace state-space modeling. An illustrative example of modeling is presented on the basis of a simulated continuous chemical reactor that exhibits multiple steady states in the outputs for a fixed level of the input." @default.
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- W2016098536 date "2000-05-17" @default.
- W2016098536 modified "2023-10-17" @default.
- W2016098536 title "Empirical Modeling of Systems with Output Multiplicities by Multivariate Additive NARX Models" @default.
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- W2016098536 doi "https://doi.org/10.1021/ie9906464" @default.
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