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Optimal Control and Inverse Optimal Control with Continuous Updating for Human Behavior Modeling

Petrosian, Ovanes; Inga, Jairo; Kuchkarov, Ildus; Flad, Michael; Hohmann, Sören

Abstract (englisch):
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.

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Verlagsausgabe §
DOI: 10.5445/IR/1000131543
Veröffentlicht am 23.04.2021
DOI: 10.1016/j.ifacol.2020.12.089
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Regelungs- und Steuerungssysteme (IRS)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2020
Sprache Englisch
Identifikator ISSN: 2405-8963
KITopen-ID: 1000131543
Erschienen in IFAC-PapersOnLine
Verlag International Federation of Automatic Control (IFAC)
Band 53
Heft 2
Seiten 6670–6677
Schlagwörter optimal control, inverse optimal control, human behavior modeling
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