Axel Ringh

According to our database, Axel Ringh authored at least 30 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Graph-Structured Tensor Optimization for Nonlinear Density Control and Mean Field Games.

Axel Ringh, Isabel Haasler, Yongxin Chen, Johan Karlsson

SIAM J. Control. Optim., 2024

Inverse optimal control for averaged cost per stage linear quadratic regulators.

Han Zhang, Axel Ringh

Syst. Control. Lett., 2024

Scalable Computation of Dynamic Flow Problems via Multimarginal Graph-Structured Optimal Transport.

Isabel Haasler, Axel Ringh, Yongxin Chen, Johan Karlsson

Math. Oper. Res., 2024

Matrix Completion and Decomposition in Phase Bounded Cones.

Ding Zhang, Axel Ringh, Li Qiu

CoRR, 2024

Statistically consistent inverse optimal control for discrete-time indefinite linear-quadratic systems.

Han Zhang, Axel Ringh

Autom., 2024

2023

Inverse linear-quadratic discrete-time finite-horizon optimal control for indistinguishable homogeneous agents: A convex optimization approach.

Han Zhang, Axel Ringh

Autom., February, 2023

Mean Field Type Control With Species Dependent Dynamics via Structured Tensor Optimization.

Axel Ringh, Isabel Haasler, Yongxin Chen, Johan Karlsson

IEEE Control. Syst. Lett., 2023

2022

An Analytic Interpolation Approach to Stability Margins With Emphasis on Time Delay.

Axel Ringh, Johan Karlsson, Anders Lindquist

IEEE Trans. Autom. Control., 2022

Statistically consistent inverse optimal control for discrete-time indefinite linear-quadratic systems.

Han Zhang, Axel Ringh

CoRR, 2022

Statistically Consistent Inverse Optimal Control for Linear-Quadratic Tracking with Random Time Horizon.

Han Zhang, Axel Ringh, Weihan Jiang, Shaoyuan Li, Xiaoming Hu

CoRR, 2022

Gain and phase type multipliers for structured feedback robustness.

Axel Ringh, Xin Mao, Wei Chen, Li Qiu, Sei Zhen Khong

CoRR, 2022

2021

Modeling Collective Behaviors: A Moment-Based Approach.

Silun Zhang, Axel Ringh, Xiaoming Hu, Johan Karlsson

IEEE Trans. Autom. Control., 2021

Multimarginal Optimal Transport with a Tree-Structured Cost and the Schrödinger Bridge Problem.

Isabel Haasler, Axel Ringh, Yongxin Chen, Johan Karlsson

SIAM J. Control. Optim., 2021

Inverse Linear-Quadratic Discrete-Time Finite-Horizon Optimal Control for Indistinguishable Agents: A Convex Optimization Approach.

Han Zhang, Axel Ringh

CoRR, 2021

Efficient computations of multi-species mean field games via graph-structured optimal transport.

Axel Ringh, Isabel Haasler, Yongxin Chen, Johan Karlsson

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

On analytic interpolation with non-classical constraints for solving problems in robust control.

Axel Ringh, Johan Karlsson, Anders Lindquist

Proceedings of the 2021 American Control Conference, 2021

2020

Data-Driven Nonsmooth Optimization.

Sebastian Banert, Axel Ringh, Jonas Adler, Johan Karlsson, Ozan Öktem

SIAM J. Optim., 2020

Low Phase-Rank Approximation.

Di Zhao, Axel Ringh, Li Qiu, Sei Zhen Khong

CoRR, 2020

2019

Estimating ensemble flows on a hidden Markov chain.

Isabel Haasler, Axel Ringh, Yongxin Chen, Johan Karlsson

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018

Multidimensional inverse problems in imaging and identification using low-complexity models, optimal mass transport, and machine learning.

Axel Ringh

PhD thesis, 2018

Multidimensional Rational Covariance Extension with Approximate Covariance Matching.

Axel Ringh, Johan Karlsson, Anders Lindquist

SIAM J. Control. Optim., 2018

A moment-based approach to modeling collective behaviors.

Silun Zhang, Axel Ringh, Xiaoming Hu, Johan Karlsson

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Lower Bounds on the Maximum Delay Margin by Analytic Interpolation.

Axel Ringh, Johan Karlsson, Anders Lindquist

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017

Generalized Sinkhorn Iterations for Regularizing Inverse Problems Using Optimal Mass Transport.

Johan Karlsson, Axel Ringh

SIAM J. Imaging Sci., 2017

Learning to solve inverse problems using Wasserstein loss.

Jonas Adler, Axel Ringh, Ozan Öktem, Johan Karlsson

CoRR, 2017

High-Level Algorithm Prototyping: An Example Extending the TVR-DART Algorithm.

Axel Ringh, Xiaodong Zhuge, Willem Jan Palenstijn, Kees Joost Batenburg, Ozan Öktem

Proceedings of the Discrete Geometry for Computer Imagery, 2017

Further results on multidimensional rational covariance extension with application to texture generation.

Axel Ringh, Johan Karlsson, Anders Lindquist

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016

Multidimensional Rational Covariance Extension with Applications to Spectral Estimation and Image Compression.

Axel Ringh, Johan Karlsson, Anders Lindquist

SIAM J. Control. Optim., 2016

2015

A fast solver for the circulant rational covariance extension problem.

Axel Ringh, Johan Karlsson

Proceedings of the 14th European Control Conference, 2015

The multidimensional circulant rational covariance extension problem: Solutions and applications in image compression.

Axel Ringh, Johan Karlsson, Anders Lindquist

Proceedings of the 54th IEEE Conference on Decision and Control, 2015