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Christoph Mark
Christoph Mark
Corporate Research, Robert Bosch GmbH
Bestätigte E-Mail-Adresse bei de.bosch.com
Titel
Zitiert von
Zitiert von
Jahr
Stochastic MPC with distributionally robust chance constraints
C Mark, S Liu
IFAC-PapersOnLine 53 (2), 7136-7141, 2020
292020
Data-driven distributionally robust MPC: An indirect feedback approach
C Mark, S Liu
arXiv preprint arXiv:2109.09558, 2021
172021
Distributed stochastic model predictive control for dynamically coupled linear systems using probabilistic reachable sets
C Mark, S Liu
2019 18th European Control Conference (ECC), 1362-1367, 2019
112019
A stochastic output-feedback MPC scheme for distributed systems
C Mark, S Liu
2020 American Control Conference (ACC), 1937-1942, 2020
92020
Stochastic distributed predictive tracking control under inexact minimization
C Mark, S Liu
IEEE Transactions on Control of Network Systems 8 (4), 1892-1904, 2021
62021
Recursively feasible Data-driven Distributionally Robust Model Predictive Control with additive disturbances
C Mark, S Liu
IEEE Control Systems Letters 7, 526-531, 2022
42022
A stochastic MPC scheme for distributed systems with multiplicative uncertainty
C Mark, S Liu
Automatica 140, 110208, 2022
42022
Stochastic Model Predictive Control for tracking of distributed linear systems with additive uncertainty
C Mark, S Liu
2021 European Control Conference (ECC), 2021
12021
Distributionally robust model predictive control for wind farms
C Mark, S Liu
IFAC-PapersOnLine 56 (2), 7680-7685, 2023
2023
Stochastic MPC with Situation-Aware Dynamic Risk Assessment for Autonomous Driving
J Ulmen, M Wellstein, C Mark, G Sundaram, D Görges, J Reich
2023 IEEE 26th International Conference on Intelligent Transportation …, 2023
2023
Contributions to Distributionally Robust and Distributed Stochastic Model Predictive Control
C Mark
Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau, 2023
2023
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