Axel Ringh

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 31

Top Topics

Infinite Horizon

Optimal Control

Linear Quadratic

Top Venues

SIAM J. Control. Optim.

Publications

Han Zhang, Axel Ringh
Statistically consistent inverse optimal control for discrete-time indefinite linear-quadratic systems. Autom. 166 (2024)
Isabel Haasler, Axel Ringh, Yongxin Chen, Johan Karlsson
Scalable Computation of Dynamic Flow Problems via Multimarginal Graph-Structured Optimal Transport. Math. Oper. Res. 49 (2) (2024)
Han Zhang, Axel Ringh
Inverse optimal control for averaged cost per stage linear quadratic regulators. Syst. Control. Lett. 183 (2024)
Axel Ringh, Isabel Haasler, Yongxin Chen, Johan Karlsson
Mean Field Type Control With Species Dependent Dynamics via Structured Tensor Optimization. IEEE Control. Syst. Lett. 7 (2023)
Axel Ringh, Isabel Haasler, Yongxin Chen, Johan Karlsson
Mean field type control with species dependent dynamics via structured tensor optimization. CoRR (2023)
Han Zhang, Axel Ringh
Inverse optimal control for averaged cost per stage linear quadratic regulators. CoRR (2023)
Han Zhang, Axel Ringh
Inverse linear-quadratic discrete-time finite-horizon optimal control for indistinguishable homogeneous agents: A convex optimization approach. Autom. 148 (2023)
Axel Ringh, Johan Karlsson, Anders Lindquist
An Analytic Interpolation Approach to Stability Margins With Emphasis on Time Delay. IEEE Trans. Autom. Control. 67 (1) (2022)
Axel Ringh, Xin Mao, Wei Chen, Li Qiu, Sei Zhen Khong
Gain and phase type multipliers for structured feedback robustness. CoRR (2022)
Han Zhang, Axel Ringh, Weihan Jiang, Shaoyuan Li, Xiaoming Hu
Statistically Consistent Inverse Optimal Control for Linear-Quadratic Tracking with Random Time Horizon. CoRR (2022)
Han Zhang, Axel Ringh
Statistically consistent inverse optimal control for discrete-time indefinite linear-quadratic systems. CoRR (2022)
Axel Ringh, Johan Karlsson, Anders Lindquist
On analytic interpolation with non-classical constraints for solving problems in robust control. ACC (2021)
Axel Ringh, Isabel Haasler, Yongxin Chen, Johan Karlsson
Efficient computations of multi-species mean field games via graph-structured optimal transport. CDC (2021)
Han Zhang, Axel Ringh
Inverse Linear-Quadratic Discrete-Time Finite-Horizon Optimal Control for Indistinguishable Agents: A Convex Optimization Approach. CoRR (2021)
Axel Ringh, Isabel Haasler, Yongxin Chen, Johan Karlsson
Graph-structured tensor optimization for nonlinear density control and mean field games. CoRR (2021)
Silun Zhang, Axel Ringh, Xiaoming Hu, Johan Karlsson
Modeling Collective Behaviors: A Moment-Based Approach. IEEE Trans. Autom. Control. 66 (1) (2021)
Isabel Haasler, Axel Ringh, Yongxin Chen, Johan Karlsson
Multimarginal Optimal Transport with a Tree-Structured Cost and the Schrödinger Bridge Problem. SIAM J. Control. Optim. 59 (4) (2021)
Sebastian Banert, Axel Ringh, Jonas Adler, Johan Karlsson, Ozan Öktem
Data-Driven Nonsmooth Optimization. SIAM J. Optim. 30 (1) (2020)
Di Zhao, Axel Ringh, Li Qiu, Sei Zhen Khong
Low Phase-Rank Approximation. CoRR (2020)
Axel Ringh, Johan Karlsson, Anders Lindquist
On analytic interpolation with non-classical constraints for solving problems in robust control. CoRR (2020)
Axel Ringh, Johan Karlsson, Anders Lindquist
An analytic interpolation approach to stability margins with emphasis on time delay. CoRR (2019)
Isabel Haasler, Axel Ringh, Yongxin Chen, Johan Karlsson
Estimating ensemble flows on a hidden Markov chain. CDC (2019)
Axel Ringh, Johan Karlsson, Anders Lindquist
Multidimensional Rational Covariance Extension with Approximate Covariance Matching. SIAM J. Control. Optim. 56 (2) (2018)
Axel Ringh, Johan Karlsson, Anders Lindquist
Lower Bounds on the Maximum Delay Margin by Analytic Interpolation. CDC (2018)
Silun Zhang, Axel Ringh, Xiaoming Hu, Johan Karlsson
A moment-based approach to modeling collective behaviors. CDC (2018)
Axel Ringh, Johan Karlsson, Anders Lindquist
Lower bounds on the maximum delay margin by analytic interpolation. CoRR (2018)
Axel Ringh, Johan Karlsson, Anders Lindquist
Further results on multidimensional rational covariance extension with application to texture generation. CDC (2017)
Jonas Adler, Axel Ringh, Ozan Öktem, Johan Karlsson
Learning to solve inverse problems using Wasserstein loss. CoRR (2017)
Johan Karlsson, Axel Ringh
Generalized Sinkhorn Iterations for Regularizing Inverse Problems Using Optimal Mass Transport. SIAM J. Imaging Sci. 10 (4) (2017)
Axel Ringh, Xiaodong Zhuge, Willem Jan Palenstijn, Kees Joost Batenburg, Ozan Öktem
High-Level Algorithm Prototyping: An Example Extending the TVR-DART Algorithm. DGCI (2017)
Axel Ringh, Johan Karlsson, Anders Lindquist
Multidimensional Rational Covariance Extension with Applications to Spectral Estimation and Image Compression. SIAM J. Control. Optim. 54 (4) (2016)
Axel Ringh, Johan Karlsson
A fast solver for the circulant rational covariance extension problem. ECC (2015)
Axel Ringh, Johan Karlsson, Anders Lindquist
The multidimensional circulant rational covariance extension problem: Solutions and applications in image compression. CDC (2015)