activity
20212024
most citedHuman-Variability-Respecting Optimal Control for Physical Human-Machine Interaction

6 citations · 6 across the 6 of their papers we have counts for

collaborators

7 papers

math.OC2024

Offline and Online Nonlinear Inverse Differential Games with Known and Approximated Cost and Value Function Structures

Philipp Karg, Balint Varga, Sören Hohmann

In this work, we propose novel offline and online Inverse Differential Game (IDG) methods for nonlinear Differential Games (DG), which identify the cost functions of all players fr…

eess.SY2024★ 6 cited

Human-Variability-Respecting Optimal Control for Physical Human-Machine Interaction

Sean Kille, Paul Leibold, Philipp Karg +2

Physical Human-Machine Interaction plays a pivotal role in facilitating collaboration across various domains. When designing appropriate model-based controllers to assist a human i…

math.OC2024

Trustworthiness of Optimality Condition Violation in Inverse Dynamic Game Methods Based on the Minimum Principle

Philipp Karg, Adrian Kienzle, Jonas Kaub +2

In this work, we analyze the applicability of Inverse Dynamic Game (IDG) methods based on the Minimum Principle (MP). The IDG method determines unknown cost functions in a single-…

math.OC2023

Bi-Level-Based Inverse Stochastic Optimal Control

Philipp Karg, Manuel Hess, Balint Varga +1

In this paper, we propose a new algorithm to solve the Inverse Stochastic Optimal Control (ISOC) problem of the linear-quadratic sensorimotor (LQS) control model. The LQS model rep…

math.OC2022

Inverse Stochastic Optimal Control for Linear-Quadratic Gaussian and Linear-Quadratic Sensorimotor Control Models

Philipp Karg, Simon Stoll, Simon Rothfuß +1

In this paper, we define and solve the Inverse Stochastic Optimal Control (ISOC) problem of the linear-quadratic Gaussian (LQG) and the linear-quadratic sensorimotor (LQS) control…

math.OC2022

Validation of Stochastic Optimal Control Models for Goal-Directed Human Movements on the Example of Human Driving Behavior

Philipp Karg, Simon Stoll, Simon Rothfuß +1

Stochastic Optimal Control models represent the state-of-the-art in modeling goal-directed human movements. The linear-quadratic sensorimotor (LQS) model based on signal-dependent…

math.OC2021

Excitation for Adaptive Optimal Control of Nonlinear Systems in Differential Games

Philipp Karg, Florian Köpf, Christian A. Braun +1

This work focuses on the fulfillment of the Persistent Excitation (PE) condition for signals which result from transformations by means of polynomials. This is essential e.g. for t…