Adaptive Control of Distillation Column using Adaptive Critic Design

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussavertaisarvioitu

Standard

Adaptive Control of Distillation Column using Adaptive Critic Design. / Koprinkova-Hristova, Petia; Todorov, Yancho; Olteanu, Marius; Paraschiv, Nikolae; Terziyska, Margarita.

Proceedings of the 2017 21st International Conference on Process Control. IEEE, 2017.

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussavertaisarvioitu

Harvard

Koprinkova-Hristova, P, Todorov, Y, Olteanu, M, Paraschiv, N & Terziyska, M 2017, Adaptive Control of Distillation Column using Adaptive Critic Design. julkaisussa Proceedings of the 2017 21st International Conference on Process Control. IEEE, International Conference on Process Control, Štrbské Pleso, Slovakia, 06/06/2017. https://doi.org/10.1109/PC.2017.7976253

APA

Koprinkova-Hristova, P., Todorov, Y., Olteanu, M., Paraschiv, N., & Terziyska, M. (2017). Adaptive Control of Distillation Column using Adaptive Critic Design. teoksessa Proceedings of the 2017 21st International Conference on Process Control IEEE. https://doi.org/10.1109/PC.2017.7976253

Vancouver

Koprinkova-Hristova P, Todorov Y, Olteanu M, Paraschiv N, Terziyska M. Adaptive Control of Distillation Column using Adaptive Critic Design. julkaisussa Proceedings of the 2017 21st International Conference on Process Control. IEEE. 2017 https://doi.org/10.1109/PC.2017.7976253

Author

Koprinkova-Hristova, Petia ; Todorov, Yancho ; Olteanu, Marius ; Paraschiv, Nikolae ; Terziyska, Margarita. / Adaptive Control of Distillation Column using Adaptive Critic Design. Proceedings of the 2017 21st International Conference on Process Control. IEEE, 2017.

Bibtex - Lataa

@inproceedings{34456687c7fd4a4887f17dba241c6af2,
title = "Adaptive Control of Distillation Column using Adaptive Critic Design",
abstract = "The paper aims at synthesis of an adaptive controller of the distillate output flow rate of a binary distillation column. The disturbance of the process is the change of concentration of the inlet compound. Intelligent approach called Adaptive Critic Design (ACD) was applied to predict on time the effect of disturbance and to adapt the distillate output flow rate in order to prevent deviations from the desired distillate concentration. The key element of ACD – the critic – is a fast trainable recurrent neural network called Echo state network (ESN). The simulation investigations demonstrated that the proposed adaptive control scheme outperforms a classical non-adaptive controller with respect to the settling time and the reaction delay.",
keywords = "Process control, intelligent systems",
author = "Petia Koprinkova-Hristova and Yancho Todorov and Marius Olteanu and Nikolae Paraschiv and Margarita Terziyska",
year = "2017",
month = "7",
day = "17",
doi = "10.1109/PC.2017.7976253",
language = "English",
booktitle = "Proceedings of the 2017 21st International Conference on Process Control",
publisher = "IEEE",
address = "United States",

}

RIS - Lataa

TY - GEN

T1 - Adaptive Control of Distillation Column using Adaptive Critic Design

AU - Koprinkova-Hristova, Petia

AU - Todorov, Yancho

AU - Olteanu, Marius

AU - Paraschiv, Nikolae

AU - Terziyska, Margarita

PY - 2017/7/17

Y1 - 2017/7/17

N2 - The paper aims at synthesis of an adaptive controller of the distillate output flow rate of a binary distillation column. The disturbance of the process is the change of concentration of the inlet compound. Intelligent approach called Adaptive Critic Design (ACD) was applied to predict on time the effect of disturbance and to adapt the distillate output flow rate in order to prevent deviations from the desired distillate concentration. The key element of ACD – the critic – is a fast trainable recurrent neural network called Echo state network (ESN). The simulation investigations demonstrated that the proposed adaptive control scheme outperforms a classical non-adaptive controller with respect to the settling time and the reaction delay.

AB - The paper aims at synthesis of an adaptive controller of the distillate output flow rate of a binary distillation column. The disturbance of the process is the change of concentration of the inlet compound. Intelligent approach called Adaptive Critic Design (ACD) was applied to predict on time the effect of disturbance and to adapt the distillate output flow rate in order to prevent deviations from the desired distillate concentration. The key element of ACD – the critic – is a fast trainable recurrent neural network called Echo state network (ESN). The simulation investigations demonstrated that the proposed adaptive control scheme outperforms a classical non-adaptive controller with respect to the settling time and the reaction delay.

KW - Process control

KW - intelligent systems

U2 - 10.1109/PC.2017.7976253

DO - 10.1109/PC.2017.7976253

M3 - Conference contribution

BT - Proceedings of the 2017 21st International Conference on Process Control

PB - IEEE

ER -

ID: 12973514