E-LIB Suche - Ergebnisse für: Wabersich, Kim P.

1

Approximate Predictive Control Barrier Functions using Neur..:

, In: 2023 European Control Conference (ECC),

Didier, Alexandre ; Jacobs, Robin C. ; Sieber, Jerome.. - p. 1-7 , 2023

Link: https://doi.org/10.23919..

2

Data-Driven Safety Filters: Hamilton-Jacobi Reachability, C..:

Wabersich, Kim P. ; Taylor, Andrew J. ; Choi, Jason J....
IEEE Control Systems. 43 (2023) 5 - p. 137-177 , 2023

Link: https://doi.org/10.1109/..

3

LQG for Constrained Linear Systems: Indirect Feedback Stoch..:

, In: 2023 European Control Conference (ECC),

Muntwiler, Simon ; Wabersich, Kim P. ; Miklos, Robert. - p. 1-7 , 2023

Link: https://doi.org/10.23919..

4

Predictive Control Barrier Functions: Enhanced Safety Mecha..:

Wabersich, Kim P. ; Zeilinger, Melanie N.
IEEE Transactions on Automatic Control. 68 (2023) 5 - p. 2638-2651 , 2023

Link: https://doi.org/10.1109/..

5

Fusion of Machine Learning and MPC under Uncertainty: What ..:

, In: 2022 American Control Conference (ACC),

Mesbah, Ali ; Wabersich, Kim P. ; Schoellig, Angela P.... - p. 342-357 , 2022

Link: https://doi.org/10.23919..

6

State space models vs. multi-step predictors in predictive ..:

, In: 2022 IEEE 61st Conference on Decision and Control (CDC),

Kohler, Johannes ; Wabersich, Kim P. ; Berberich, Julian. - p. 491-498 , 2022

Link: https://doi.org/10.1109/..

7

Nonlinear learning‐based model predictive control supportin..:

Wabersich, Kim P. ; Zeilinger, Melanie N.
International Journal of Robust and Nonlinear Control. 31 (2021) 18 - p. 8897-8915 , 2021

Link: https://doi.org/10.1002/..

8

Recursively feasible stochastic model predictive control us..:

Hewing, Lukas ; Wabersich, Kim P. ; Zeilinger, Melanie N.
Automatica. 119 (2020) - p. 109095 , 2020

Link: https://doi.org/10.1016/..

9

Predictive stability filters for nonlinear dynamical system..:

Didier, Alexandre ; id_orcid:0 000-0001-5396-8996 ; Zanelli, Andrea..
http://hdl.handle.net/20.500.11850/668027. , 2024

Link: https://hdl.handle.net/2..

10

Learning Soft Constrained MPC Value Functions: Efficient MP..:

Chatzikiriakos, Nicolas ; Wabersich, Kim P ; Berkel, Felix..
http://arxiv.org/abs/2401.07780. , 2024

Link: http://arxiv.org/abs/240..

11

Predictive stability filters for nonlinear dynamical system..:

Didier, Alexandre ; Zanelli, Andrea ; Wabersich, Kim P.
http://arxiv.org/abs/2401.11183. , 2024

Link: http://arxiv.org/abs/240..

12

Approximate Predictive Control Barrier Functions - A Comput..:

Didier, Alexandre ; id_orcid:0 000-0001-5396-8996 ; Jacobs, Robin...
http://hdl.handle.net/20.500.11850/610171. , 2023

Link: https://hdl.handle.net/2..

13

Learning-based Moving Horizon Estimation through Differenti..:

Muntwiler, Simon ; id_orcid:0 000-0003-4720-3772 ; Wabersich, Kim P.
info:eu-repo/grantAgreement/SNF/SNF-Förderungsprofessuren Stufe 2/157601. , 2022

Link: https://hdl.handle.net/2..

14

Approximate Predictive Control Barrier Functions using Neur..:

Didier, Alexandre ; Jacobs, Robin C ; Sieber, Jerome..
http://arxiv.org/abs/2211.15104. , 2022

Link: http://arxiv.org/abs/221..

15

State space models vs. multi-step predictors in predictive ..:

Köhler, Johannes ; Wabersich, Kim P ; Berberich, Julian.
http://arxiv.org/abs/2203.15471. , 2022

Link: http://arxiv.org/abs/220..