Jan Heiland - RankMe

40 papers Journal 33Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Barycentric Rational Approximation for Learning the Index of a Dynamical System from Limited Data. J. Sci. Comput. Davide Pradovera, Ion Victor Gosea, Jan Heiland
2026	J	`jnl`	Frequency-Dependent Switching Control for Disturbance Attenuation of Linear Systems. IEEE Trans. Autom. Control. Jingjing Zhang, Jan Heiland, Peter Benner, Xin Du
2025	J	`jnl`	Adaptive H J. Syst. Sci. Complex. Jingjing Zhang, Jan Heiland, Yu-Long Wang
2025	—	`conf`	Adaptive Rational Interpolation and Higher-order SVD for Low-rank Tensor Approximation in Structural Dynamics Simulations. ECC Jan Heiland, Ion Victor Gosea, Ulrich Römer, Davide Pradovera, Harikrishnan K. Sreekumar, Sabine C. Langer
2025	J	`jnl`	Deep polytopic autoencoders for low-dimensional linear parameter-varying approximations and nonlinear feedback controller design. Adv. Comput. Math. Jan Heiland, Yongho Kim, Steffen W. R. Werner
2025	J	`jnl`	Exponential synchronization of bi-directional associative memory neural networks with delay on arbitrary time domains. Neural Comput. Appl. Vipin Kumar, Jan Heiland, Peter Benner
2025	J	`jnl`	Polytopic autoencoders with smooth clustering for reduced-order modeling of flows. J. Comput. Phys. Jan Heiland, Yongho Kim
2025	J	`jnl`	Smoothing gradient method for group-structured sparse feedback stabilization. Syst. Control. Lett. Anping Tang, Jan Heiland, Guang-Da Hu
2024	J	`jnl`	Barycentric rational approximation for learning the index of a dynamical system from limited data. CoRR Davide Pradovera, Ion Victor Gosea, Jan Heiland
2024	J	`jnl`	Convolutional autoencoders, clustering, and POD for low-dimensional parametrization of flow equations. Comput. Math. Appl. Jan Heiland, Yongho Kim
2024	J	`jnl`	Deep polytopic autoencoders for low-dimensional linear parameter-varying approximations and nonlinear feedback design. CoRR Jan Heiland, Yongho Kim, Steffen W. R. Werner
2024	—	`conf`	Implicit and Explicit Matching of Non-Proper Transfer Functions in the Loewner Framework. ECC Ion Victor Gosea, Jan Heiland
2024	—	`conf`	Low-Order Linear Parameter Varying Approximations for Nonlinear Controller Design for Flows. ECC Amritam Das, Jan Heiland
2024	J	`jnl`	MaRDIFlow: A CSE workflow framework for abstracting meta-data from FAIR computational experiments. CoRR Pavan L. Veluvali, Jan Heiland, Peter Benner
2024	J	`jnl`	Polytopic Autoencoders with Smooth Clustering for Reduced-order Modelling of Flows. CoRR Jan Heiland, Yongho Kim
2023	J	`jnl`	A low-rank solution method for Riccati equations with indefinite quadratic terms. Numer. Algorithms Peter Benner, Jan Heiland, Steffen W. R. Werner
2023	J	`jnl`	Convolutional Autoencoders, Clustering and POD for Low-dimensional Parametrization of Navier-Stokes Equations. CoRR Yongho Kim, Jan Heiland
2023	J	`jnl`	Exponential Lag Synchronization of Cohen-Grossberg Neural Networks with Discrete and Distributed Delays on Time Scales. Neural Process. Lett. Vipin Kumar, Jan Heiland, Peter Benner
2023	J	`jnl`	Frequency-dependent Switching Control for Disturbance Attenuation of Linear Systems. CoRR Jingjing Zhang, Jan Heiland, Peter Benner, Xin Du
2023	J	`jnl`	Low-Complexity Linear Parameter-Varying Approximations of Incompressible Navier-Stokes Equations for Truncated State-Dependent Riccati Feedback. IEEE Control. Syst. Lett. Jan Heiland, Steffen W. R. Werner
2023	J	`jnl`	Low-complexity linear parameter-varying approximations of incompressible Navier-Stokes equations for truncated state-dependent Riccati feedback. CoRR Jan Heiland, Steffen W. R. Werner
2023	—	`conf`	MaRDIFlow: A Workflow Framework for Documentation and Integration of FAIR Computational Experiments. CoRDI Pavan L. Veluvali, Jan Heiland, Peter Benner
2023	J	`jnl`	Projective lag quasi-synchronization of coupled systems with mixed delays and parameter mismatch: a unified theory. Neural Comput. Appl. Vipin Kumar, Jan Heiland, Peter Benner
2022	J	`jnl`	Convolutional Neural Networks for Very Low-Dimensional LPV Approximations of Incompressible Navier-Stokes Equations. Frontiers Appl. Math. Stat. Jan Heiland, Peter Benner, Rezvan Bahmani
2022	J	`jnl`	Robust output-feedback stabilization for incompressible flows using low-dimensional ℋ Comput. Optim. Appl. Peter Benner, Jan Heiland, Steffen W. R. Werner
2021	J	`jnl`	A low-rank solution method for Riccati equations with indefinite quadratic terms. CoRR Peter Benner, Jan Heiland, Steffen W. R. Werner
2021	J	`jnl`	Classical System Theory Revisited for Turnpike in Standard State Space Systems and Impulse Controllable Descriptor Systems. SIAM J. Control. Optim. Jan Heiland, Enrique Zuazua
2021	J	`jnl`	Galerkin trial spaces and Davison-Maki methods for the numerical solution of differential Riccati equations. Appl. Math. Comput. Maximilian Behr, Peter Benner, Jan Heiland
2021	J	`jnl`	Identification of linear time-invariant systems with Dynamic Mode Decomposition. CoRR Jan Heiland, Benjamin Unger
2020	—	`conf`	Equivalence of Riccati-based Robust Controller Design for Index-1 Descriptor Systems and Standard Plants with Feedthrough. ECC Peter Benner, Jan Heiland
2020	J	`jnl`	Operator Inference and Physics-Informed Learning of Low-Dimensional Models for Incompressible Flows. CoRR Peter Benner, Pawan Goyal, Jan Heiland, Igor Pontes Duff
2020	—	`conf`	PD controllers to solve single-input, index-1 DAE based LQR problems. ECC Chayan Bhawal, Jan Heiland, Peter Benner
2020	J	`jnl`	Space and Chaos-Expansion Galerkin POD Low-order Discretization of PDEs for Uncertainty Quantification. CoRR Peter Benner, Jan Heiland
2019	J	`jnl`	Invariant Galerkin Ansatz Spaces and Davison-Maki Methods for the Numerical Solution of Differential Riccati Equations. CoRR Maximilian Behr, Peter Benner, Jan Heiland
2019	J	`jnl`	Numerical benchmarking of fluid-rigid body interactions. CoRR Henry von Wahl, Thomas Richter, Christoph Lehrenfeld, Jan Heiland, Piotr Minakowski
2018	J	`jnl`	Space-Time Galerkin POD with Application in Optimal Control of Semilinear Partial Differential Equations. SIAM J. Sci. Comput. Manuel Baumann, Peter Benner, Jan Heiland
2017	J	`jnl`	Example Setups of Navier-Stokes Equations with Control and Observation: Spatial Discretization and Representation via Linear-quadratic Matrix Coefficients. CoRR Maximilian Behr, Peter Benner, Jan Heiland
2017	—	`conf`	Nonlinear feedback stabilization of incompressible flows via updated Riccati-based gains. CDC Peter Benner, Jan Heiland
2016	J	`jnl`	A Differential-Algebraic Riccati Equation for Applications in Flow Control. SIAM J. Control. Optim. Jan Heiland
2016	J	`jnl`	Best Practices for Replicability, Reproducibility and Reusability of Computer-Based Experiments Exemplified by Model Reduction Software. CoRR Jörg Fehr, Jan Heiland, Christian Himpe, Jens Saak