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Identification of Human Model Parameters for the Human-Machine Control Systems Design. / Zaitceva, Iuliia; Kuznetsov, Nikolay V.; Andrievsky, Boris.

2022 8th International Conference on Control, Decision and Information Technologies, CoDIT 2022. Institute of Electrical and Electronics Engineers Inc., 2022. стр. 972-977 (2022 8th International Conference on Control, Decision and Information Technologies, CoDIT 2022).

Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование

Harvard

Zaitceva, I, Kuznetsov, NV & Andrievsky, B 2022, Identification of Human Model Parameters for the Human-Machine Control Systems Design. в 2022 8th International Conference on Control, Decision and Information Technologies, CoDIT 2022. 2022 8th International Conference on Control, Decision and Information Technologies, CoDIT 2022, Institute of Electrical and Electronics Engineers Inc., стр. 972-977, 8th International Conference on Control, Decision and Information Technologies, CoDIT 2022, Istanbul, Турция, 17/05/22. https://doi.org/10.1109/codit55151.2022.9804146

APA

Zaitceva, I., Kuznetsov, N. V., & Andrievsky, B. (2022). Identification of Human Model Parameters for the Human-Machine Control Systems Design. в 2022 8th International Conference on Control, Decision and Information Technologies, CoDIT 2022 (стр. 972-977). (2022 8th International Conference on Control, Decision and Information Technologies, CoDIT 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/codit55151.2022.9804146

Vancouver

Zaitceva I, Kuznetsov NV, Andrievsky B. Identification of Human Model Parameters for the Human-Machine Control Systems Design. в 2022 8th International Conference on Control, Decision and Information Technologies, CoDIT 2022. Institute of Electrical and Electronics Engineers Inc. 2022. стр. 972-977. (2022 8th International Conference on Control, Decision and Information Technologies, CoDIT 2022). https://doi.org/10.1109/codit55151.2022.9804146

Author

Zaitceva, Iuliia ; Kuznetsov, Nikolay V. ; Andrievsky, Boris. / Identification of Human Model Parameters for the Human-Machine Control Systems Design. 2022 8th International Conference on Control, Decision and Information Technologies, CoDIT 2022. Institute of Electrical and Electronics Engineers Inc., 2022. стр. 972-977 (2022 8th International Conference on Control, Decision and Information Technologies, CoDIT 2022).

BibTeX

@inproceedings{db337a158cd04a47b523cc148c355bdc,
title = "Identification of Human Model Parameters for the Human-Machine Control Systems Design",
abstract = "The paper considers an electromechanical mobile robotic system in which the behavior of a human operator is imitated through computer modeling. Identification algorithms of the parameters of the human operator for linear and nonlinear systems are proposed. The application of this approach in the design of an automated human-machine control system is also described. The results of the research are illustrated by the example of a fly-by-wired pilot-aircraft system. It is shown how the change in the system parameters affects the handling quality characteristics of the robotic system. ",
author = "Iuliia Zaitceva and Kuznetsov, {Nikolay V.} and Boris Andrievsky",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 8th International Conference on Control, Decision and Information Technologies, CoDIT 2022 ; Conference date: 17-05-2022 Through 20-05-2022",
year = "2022",
month = may,
day = "17",
doi = "10.1109/codit55151.2022.9804146",
language = "English",
isbn = "9781665496070",
series = "2022 8th International Conference on Control, Decision and Information Technologies, CoDIT 2022",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "972--977",
booktitle = "2022 8th International Conference on Control, Decision and Information Technologies, CoDIT 2022",
address = "United States",

}

RIS

TY - GEN

T1 - Identification of Human Model Parameters for the Human-Machine Control Systems Design

AU - Zaitceva, Iuliia

AU - Kuznetsov, Nikolay V.

AU - Andrievsky, Boris

N1 - Publisher Copyright: © 2022 IEEE.

PY - 2022/5/17

Y1 - 2022/5/17

N2 - The paper considers an electromechanical mobile robotic system in which the behavior of a human operator is imitated through computer modeling. Identification algorithms of the parameters of the human operator for linear and nonlinear systems are proposed. The application of this approach in the design of an automated human-machine control system is also described. The results of the research are illustrated by the example of a fly-by-wired pilot-aircraft system. It is shown how the change in the system parameters affects the handling quality characteristics of the robotic system.

AB - The paper considers an electromechanical mobile robotic system in which the behavior of a human operator is imitated through computer modeling. Identification algorithms of the parameters of the human operator for linear and nonlinear systems are proposed. The application of this approach in the design of an automated human-machine control system is also described. The results of the research are illustrated by the example of a fly-by-wired pilot-aircraft system. It is shown how the change in the system parameters affects the handling quality characteristics of the robotic system.

UR - http://www.scopus.com/inward/record.url?scp=85134311858&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/0b3607d1-9748-3046-8279-d8c196b515d8/

U2 - 10.1109/codit55151.2022.9804146

DO - 10.1109/codit55151.2022.9804146

M3 - Conference contribution

AN - SCOPUS:85134311858

SN - 9781665496070

T3 - 2022 8th International Conference on Control, Decision and Information Technologies, CoDIT 2022

SP - 972

EP - 977

BT - 2022 8th International Conference on Control, Decision and Information Technologies, CoDIT 2022

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 8th International Conference on Control, Decision and Information Technologies, CoDIT 2022

Y2 - 17 May 2022 through 20 May 2022

ER -

ID: 97646405