Nonlinear Models in Optimal Instrumentation. A Fast Technique for Precision Evaluation

Author:

Hernández JoséORCID,Simón Silvia,Minetti GabrielaORCID,Salto CarolinaORCID,Carnero MercedesORCID

Publisher

Springer Nature Switzerland

Reference9 articles.

1. Hernández, J., Simón, S., Carnero C., Minetti G., Salto, M.: On the precision evaluation in non-linear sensor network design; Actas del XXIX Congreso Argentino De Ciencias De La Computación (CACIC), pp. 48–56. Luján, Argentina (2023)

2. Romagnoli, J., Sánchez, M.: Data Processing and Reconciliation for Chemical Process Operations. Academic Press, San Diego (2000)

3. Carnero, M., Hernández, J.L., Sánchez, M.: Optimal sensor location in chemical plants using the estimation of distribution algorithms. Ind. Eng. Chem. Res. 57(36), 12149–12164 (2018)

4. Zhang, J., Chmielewski, D.J.: Profit-based sensor network design using the generalized benders decomposition. In: American Control Conference, (ACC), pp. 3894–3899 (2017)

5. Hernandez, J., Salto, C., Minetti, G., Carnero, M., Sanchez, M.C.: Hybrid simulated annealing for optimal cost instrumentation in chemical plants. Chem. Eng. Trans. 74, 709–714 (2019)

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