Newell-Lee Evaporator System for System Identification

versión 2.0.2 (178 KB) por Karl Ezra Pilario
Simulink implementation of an industrial case study with 3 inputs and 3 outputs

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Actualizada 30 May 2020

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The following are contained in this submission:

1. evapSimNew.slx - the Simulink model of the Newell-Lee forced-circulation evaporator system.
2. runEvapSim.m - a script that designs input excitation signals, and then runs evapSimNew.
3. visEvap.m - a script that plots the data sets.
4. datasets.mat - contains the exact training data and validation data sets used in Ref. [3].

The evaporator system is simulated from a system of 3 ODEs, adopted from Ref. [1]-[2], and then described in Ref. [3]. The files in this submission are exactly the ones used in the case study in Ref. [3].

References:
[1] Maciejowski, Predictive Control with Constraints, 2000.
[2] Al-Seyab & Cao, Nonlinear system identification for predictive control using continuous time recurrent neural networks and automatic differentiation, Journal of Process Control, 2008.
[3] Pilario et al., A Kernel Design Approach to Improve Kernel Subspace Identification, IEEE Trans. on Industrial Electronics, May 2020, doi: 10.1109/TIE.2020.2996142.

Ref. [3] is available in https://ieeexplore.ieee.org/document/9102405. If you intend to use this MATLAB file, please cite Ref. [3] instead. Thank you! :)

Citar como

Karl Ezra Pilario (2022). Newell-Lee Evaporator System for System Identification (https://www.mathworks.com/matlabcentral/fileexchange/68641-newell-lee-evaporator-system-for-system-identification), MATLAB Central File Exchange. Recuperado .

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Se creó con R2018a
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