NONLINEAR MODEL PREDICTIVE CONTROL OF BIOTECHNOLOGICAL PROCESS FOR ETHANOL PRODUCTION
Tatiana S. Ilkova, Mitko M. Petrov
Страници: 284-297
Публикувана: 1 Jan 2010
Преглеждания: 392
Изтегляния: 57
Резюме: Nonlinear model predictive control (NMPC) for a biotechnological process has been developed in this paper. The approaches conditions that guarantee stability of the closed-loop has been derived if an NMPC state feedback controller is used together with a full state observer for the recovery of the system state for a biotechnological process. The method is applied for a biotechnological process for Ethanol production. The developed control algorithm ensures maximal Ethanol production at the end of the process and guarantees a feedback on disturbance as well as robustness to process disturbances.
Ключови думи: biotechnological process, nonlinear model predictive control, output feedback, stability
Цитирайте тази статия: Tatiana S. Ilkova, Mitko M. Petrov. NONLINEAR MODEL PREDICTIVE CONTROL OF BIOTECHNOLOGICAL PROCESS FOR ETHANOL PRODUCTION. Journal of International Scientific Publications: Materials, Methods & Technologies 4, 284-297 (2010). https://www.scientific-publications.net/en/article/1003426/
Обратно към съдържанието на тома
© 2026 The Author(s). This is an open access article distributed under the terms of the
Creative Commons Attribution License https://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. This permission does not cover any third party copyrighted material which may appear in the work requested.
Disclaimer: The Publisher and/or the editor(s) are not responsible for the statements, opinions, and data contained in any published works. These are solely the views of the individual author(s) and contributor(s). The Publisher and/or the editor(s) disclaim any liability for injury to individuals or property arising from the ideas, methods, instructions, or products mentioned in the content.
