Результаты исследований: Научные публикации в периодических изданиях › статья в журнале по материалам конференции › Рецензирование
Optimal control and inverse optimal control with continuous updating for human behavior modeling. / Petrosian, Ovanes; Inga, Jairo; Kuchkarov, Ildus; Flad, Michael; Hohmann, Sören.
в: IFAC-PapersOnLine, Том 53, № 2, 2020, стр. 6670-6677.Результаты исследований: Научные публикации в периодических изданиях › статья в журнале по материалам конференции › Рецензирование
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TY - JOUR
T1 - Optimal control and inverse optimal control with continuous updating for human behavior modeling
AU - Petrosian, Ovanes
AU - Inga, Jairo
AU - Kuchkarov, Ildus
AU - Flad, Michael
AU - Hohmann, Sören
N1 - Publisher Copyright: Copyright © 2020 The Authors. This is an open access article under the CC BY-NC-ND license Copyright: Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2020
Y1 - 2020
N2 - The theory of optimal control has received considerable attention to model motion behavior or decision making of humans. Most approaches are based on a fixed (or infinite) time horizon which implies that all information is available at the beginning of the time interval. Nevertheless, it is reasonable to believe that the human uses information defined by a continuously moving information horizon at each time instant and adapts accordingly. Therefore, in this paper, we propose an optimal feedback control approach based on the paradigm of continuous updating. The model parameters which define individual human behavior consist of the cost function parameters and the length of the information horizon, which can be identified via a corresponding inverse optimal control approach. We show the applicability of the approach with simulations of a potential application example of human behavior identification from the point of view of a driving assistance system.
AB - The theory of optimal control has received considerable attention to model motion behavior or decision making of humans. Most approaches are based on a fixed (or infinite) time horizon which implies that all information is available at the beginning of the time interval. Nevertheless, it is reasonable to believe that the human uses information defined by a continuously moving information horizon at each time instant and adapts accordingly. Therefore, in this paper, we propose an optimal feedback control approach based on the paradigm of continuous updating. The model parameters which define individual human behavior consist of the cost function parameters and the length of the information horizon, which can be identified via a corresponding inverse optimal control approach. We show the applicability of the approach with simulations of a potential application example of human behavior identification from the point of view of a driving assistance system.
UR - http://www.scopus.com/inward/record.url?scp=85105078368&partnerID=8YFLogxK
U2 - 10.1016/j.ifacol.2020.12.089
DO - 10.1016/j.ifacol.2020.12.089
M3 - Conference article
AN - SCOPUS:85105078368
VL - 53
SP - 6670
EP - 6677
JO - IFAC-PapersOnLine
JF - IFAC-PapersOnLine
SN - 2405-8963
IS - 2
T2 - 21st IFAC World Congress 2020
Y2 - 12 July 2020 through 17 July 2020
ER -
ID: 76866099