التفاصيل البيبلوغرافية
| العنوان: |
Software Tools for System Identification and Control using Neural Networks in Process Engineering |
| المؤلفون: |
J. Fernandez de Canete, S. Gonzalez-Perez, P. del Saz-Orozco |
| المصدر: |
International Journal of Information, Control and Computer Sciences, 1.0(11), (2008-11-28) |
| بيانات النشر: |
Zenodo |
| سنة النشر: |
2008 |
| المجموعة: |
Zenodo |
| الوصف: |
Neural networks offer an alternative approach both for identification and control of nonlinear processes in process engineering. The lack of software tools for the design of controllers based on neural network models is particularly pronounced in this field. SIMULINK is properly a widely used graphical code development environment which allows system-level developers to perform rapid prototyping and testing. Such graphical based programming environment involves block-based code development and offers a more intuitive approach to modeling and control task in a great variety of engineering disciplines. In this paper a SIMULINK based Neural Tool has been developed for analysis and design of multivariable neural based control systems. This tool has been applied to the control of a high purity distillation column including non linear hydrodynamic effects. The proposed control scheme offers an optimal response for both theoretical and practical challenges posed in process control task, in particular when both, the quality improvement of distillation products and the operation efficiency in economical terms are considered. |
| نوع الوثيقة: |
article in journal/newspaper |
| اللغة: |
English |
| Relation: |
https://doi.org/10.5281/zenodo.1328034; https://doi.org/10.5281/zenodo.1328035; oai:zenodo.org:1328035 |
| DOI: |
10.5281/zenodo.1328035 |
| الاتاحة: |
https://doi.org/10.5281/zenodo.1328035 |
| Rights: |
info:eu-repo/semantics/openAccess ; Creative Commons Attribution 4.0 International ; https://creativecommons.org/licenses/by/4.0/legalcode |
| رقم الانضمام: |
edsbas.B464A5CC |
| قاعدة البيانات: |
BASE |