9783731510802.pdf
This work addresses inverse dynamic games, which generalize the inverse problem of optimal control, and where the aim is to identify cost functions based on observed optimal trajectories. The identified cost functions can describe individual behavior in cooperative systems, e.g. human behavior in hu...
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KIT Scientific Publishing
2021
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oapen-20.500.12657-504502021-08-17T02:49:02Z Inverse Dynamic Game Methods for Identification of Cooperative System Behavior Jairo Inga Charaja, Juan optimale Regelung dynamische Spieltheorie kooperative Systeme Identifikation optimal control dynamic game theory cooperative systems identification bic Book Industry Communication::T Technology, engineering, agriculture::TH Energy technology & engineering::THR Electrical engineering This work addresses inverse dynamic games, which generalize the inverse problem of optimal control, and where the aim is to identify cost functions based on observed optimal trajectories. The identified cost functions can describe individual behavior in cooperative systems, e.g. human behavior in human-machine haptic shared control scenarios. 2021-08-16T09:31:23Z 2021-08-16T09:31:23Z 2021 book ONIX_20210816_9783731510802_11 2511-6312 9783731510802 https://library.oapen.org/handle/20.500.12657/50450 eng Karlsruher Beiträge zur Regelungs- und Steuerungstechnik application/pdf n/a 9783731510802.pdf KIT Scientific Publishing KIT Scientific Publishing 10.5445/KSP/1000128612 10.5445/KSP/1000128612 44e29711-8d53-496b-85cc-3d10c9469be9 9783731510802 KIT Scientific Publishing 10 264 Karlsruhe open access |
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English |
description |
This work addresses inverse dynamic games, which generalize the inverse problem of optimal control, and where the aim is to identify cost functions based on observed optimal trajectories. The identified cost functions can describe individual behavior in cooperative systems, e.g. human behavior in human-machine haptic shared control scenarios. |
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KIT Scientific Publishing |
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2021 |
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