Axel Ringh

43 papers C 1Journal 33Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
Gain-Type and Phase-Type Multipliers for Feedback Robustness.
IEEE Trans. Autom. Control.
Axel Ringh, Xin Mao, Wei Chen, Li Qiu, Sei Zhen Khong
2025 J jnl
A convex approach for Markov chain estimation from aggregate data via inverse optimal transport.
CoRR
Michele Mascherpa, Axel Ringh, Amirhossein Taghvaei, Johan Karlsson
2025 J jnl
Fast Computation of the TGOSPA Metric for Multiple Target Tracking via Unbalanced Optimal Transport.
IEEE Control. Syst. Lett.
Viktor Nevelius Wernholm, Alfred Wärnsäter, Axel Ringh
2025 J jnl
Fast computation of the TGOSPA metric for multiple target tracking via unbalanced optimal transport.
CoRR
Viktor Nevelius Wernholm, Alfred Wärnsäter, Axel Ringh
2025 J jnl
Kalman-Langevin dynamics : exponential convergence, particle approximation and numerical approximation.
CoRR
Axel Ringh, Akash Sharma
2025 J jnl
Matrix Completion and Decomposition in Phase-Bounded Cones.
SIAM J. Matrix Anal. Appl.
Ding Zhang, Axel Ringh, Li Qiu
2025 J jnl
The Phantom of Davis-Wielandt Shell: A Unified Framework for Graphical Stability Analysis of MIMO LTI Systems.
CoRR
Ding Zhang, Xiaokan Yang, Axel Ringh, Li Qiu
2024 J jnl
Graph-Structured Tensor Optimization for Nonlinear Density Control and Mean Field Games.
SIAM J. Control. Optim.
Axel Ringh, Isabel Haasler, Yongxin Chen, Johan Karlsson
2024 J jnl
Inverse optimal control for averaged cost per stage linear quadratic regulators.
Syst. Control. Lett.
Han Zhang, Axel Ringh
2024 J jnl
Matrix Completion and Decomposition in Phase Bounded Cones.
CoRR
Ding Zhang, Axel Ringh, Li Qiu
2024 J jnl
Scalable Computation of Dynamic Flow Problems via Multimarginal Graph-Structured Optimal Transport.
Math. Oper. Res.
Isabel Haasler, Axel Ringh, Yongxin Chen, Johan Karlsson
2024 J jnl
Statistically consistent inverse optimal control for discrete-time indefinite linear-quadratic systems.
Autom.
Han Zhang, Axel Ringh
2023 J jnl
Inverse linear-quadratic discrete-time finite-horizon optimal control for indistinguishable homogeneous agents: A convex optimization approach.
Autom.
Han Zhang, Axel Ringh
2023 J jnl
Inverse optimal control for averaged cost per stage linear quadratic regulators.
CoRR
Han Zhang, Axel Ringh
2023 J jnl
Mean Field Type Control With Species Dependent Dynamics via Structured Tensor Optimization.
IEEE Control. Syst. Lett.
Axel Ringh, Isabel Haasler, Yongxin Chen, Johan Karlsson
2023 J jnl
Mean field type control with species dependent dynamics via structured tensor optimization.
CoRR
Axel Ringh, Isabel Haasler, Yongxin Chen, Johan Karlsson
2022 J jnl
An Analytic Interpolation Approach to Stability Margins With Emphasis on Time Delay.
IEEE Trans. Autom. Control.
Axel Ringh, Johan Karlsson, Anders Lindquist
2022 J jnl
Gain and phase type multipliers for structured feedback robustness.
CoRR
Axel Ringh, Xin Mao, Wei Chen, Li Qiu, Sei Zhen Khong
2022 J jnl
Statistically Consistent Inverse Optimal Control for Linear-Quadratic Tracking with Random Time Horizon.
CoRR
Han Zhang, Axel Ringh, Weihan Jiang, Shaoyuan Li, Xiaoming Hu
2022 J jnl
Statistically consistent inverse optimal control for discrete-time indefinite linear-quadratic systems.
CoRR
Han Zhang, Axel Ringh
2021 — conf
Efficient computations of multi-species mean field games via graph-structured optimal transport.
CDC
Axel Ringh, Isabel Haasler, Yongxin Chen, Johan Karlsson
2021 J jnl
Graph-structured tensor optimization for nonlinear density control and mean field games.
CoRR
Axel Ringh, Isabel Haasler, Yongxin Chen, Johan Karlsson
2021 J jnl
Inverse Linear-Quadratic Discrete-Time Finite-Horizon Optimal Control for Indistinguishable Agents: A Convex Optimization Approach.
CoRR
Han Zhang, Axel Ringh
2021 J jnl
Modeling Collective Behaviors: A Moment-Based Approach.
IEEE Trans. Autom. Control.
Silun Zhang, Axel Ringh, Xiaoming Hu, Johan Karlsson
2021 J jnl
Multimarginal Optimal Transport with a Tree-Structured Cost and the Schrödinger Bridge Problem.
SIAM J. Control. Optim.
Isabel Haasler, Axel Ringh, Yongxin Chen, Johan Karlsson
2021 C conf
On analytic interpolation with non-classical constraints for solving problems in robust control.
ACC
Axel Ringh, Johan Karlsson, Anders Lindquist
2020 J jnl
Data-Driven Nonsmooth Optimization.
SIAM J. Optim.
Sebastian Banert, Axel Ringh, Jonas Adler, Johan Karlsson, Ozan Öktem
2020 J jnl
Low Phase-Rank Approximation.
CoRR
Di Zhao, Axel Ringh, Li Qiu, Sei Zhen Khong
2020 J jnl
On analytic interpolation with non-classical constraints for solving problems in robust control.
CoRR
Axel Ringh, Johan Karlsson, Anders Lindquist
2019 J jnl
An analytic interpolation approach to stability margins with emphasis on time delay.
CoRR
Axel Ringh, Johan Karlsson, Anders Lindquist
2019 — conf
Estimating ensemble flows on a hidden Markov chain.
CDC
Isabel Haasler, Axel Ringh, Yongxin Chen, Johan Karlsson
2018 — conf
A moment-based approach to modeling collective behaviors.
CDC
Silun Zhang, Axel Ringh, Xiaoming Hu, Johan Karlsson
2018 — conf
Lower Bounds on the Maximum Delay Margin by Analytic Interpolation.
CDC
Axel Ringh, Johan Karlsson, Anders Lindquist
2018 J jnl
Lower bounds on the maximum delay margin by analytic interpolation.
CoRR
Axel Ringh, Johan Karlsson, Anders Lindquist
2018 J jnl
Multidimensional Rational Covariance Extension with Approximate Covariance Matching.
SIAM J. Control. Optim.
Axel Ringh, Johan Karlsson, Anders Lindquist
2018 — —
Multidimensional inverse problems in imaging and identification using low-complexity models, optimal mass transport, and machine learning.
Axel Ringh
2017 — conf
Further results on multidimensional rational covariance extension with application to texture generation.
CDC
Axel Ringh, Johan Karlsson, Anders Lindquist
2017 J jnl
Generalized Sinkhorn Iterations for Regularizing Inverse Problems Using Optimal Mass Transport.
SIAM J. Imaging Sci.
Johan Karlsson, Axel Ringh
2017 — conf
High-Level Algorithm Prototyping: An Example Extending the TVR-DART Algorithm.
DGCI
Axel Ringh, Xiaodong Zhuge, Willem Jan Palenstijn, Kees Joost Batenburg, Ozan Öktem
2017 J jnl
Learning to solve inverse problems using Wasserstein loss.
CoRR
Jonas Adler, Axel Ringh, Ozan Öktem, Johan Karlsson
2016 J jnl
Multidimensional Rational Covariance Extension with Applications to Spectral Estimation and Image Compression.
SIAM J. Control. Optim.
Axel Ringh, Johan Karlsson, Anders Lindquist
2015 — conf
A fast solver for the circulant rational covariance extension problem.
ECC
Axel Ringh, Johan Karlsson
2015 — conf
The multidimensional circulant rational covariance extension problem: Solutions and applications in image compression.
CDC
Axel Ringh, Johan Karlsson, Anders Lindquist