Feedback in a Predictive Model of a Reactive Distillation Process.
- Published in:
- Journal of Computer & Systems Sciences International, 2019, v. 58, n. 4, p. 637, doi. 10.1134/S1064230719040075
- By:
- Publication type:
- Article
Works by Torgashov, A. Yu.
Results: 7
1
2
Application of a First Principles Mathematical Model of a Mass-Transfer Technological Process to Improve the Accuracy of the Estimation of the End Product Quality.
- Published in:
- Theoretical Foundations of Chemical Engineering, 2022, v. 56, n. 3, p. 371, doi. 10.1134/S0040579522020117
- By:
- Publication type:
- Article
3
Optimization of the Parameters of a Model Predictive Control System for an Industrial Fractionator.
- Published in:
- Automation & Remote Control, 2024, v. 85, n. 7, p. 652, doi. 10.1134/S0005117924700085
- By:
- Publication type:
- Article
4
Developing an Adaptive Soft Sensor Using a Predictive Filter for a Nonstationary Process.
- Published in:
- Automation & Remote Control, 2022, v. 83, n. 12, p. 1984, doi. 10.1134/S00051179220120104
- By:
- Publication type:
- Article
5
Adaptation of the Structure and Parameters of Nonlinear Soft Sensors by the Example of an Industrial Reactive Distillation Process.
- Published in:
- Automation & Remote Control, 2021, v. 82, n. 10, p. 1774, doi. 10.1134/S0005117921100143
- By:
- Publication type:
- Article
6
Development of Clustering-Based Adaptive Soft Sensors for Industrial Distillation Columns.
- Published in:
- Automation & Remote Control, 2021, v. 82, n. 10, p. 1763, doi. 10.1134/S0005117921100131
- By:
- Publication type:
- Article
7
Developing a Soft Sensor for MTBE Process Based on a Small Sample.
- Published in:
- Automation & Remote Control, 2020, v. 81, n. 11, p. 2132, doi. 10.1134/S0005117920110120
- By:
- Publication type:
- Article