Igor Pontes Duff

Orcid: 0000-0001-6433-6142

According to our database1, Igor Pontes Duff authored at least 31 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Semi-active damping optimization of vibrational systems using the reduced basis method.
Adv. Comput. Math., June, 2024

Dominant subspaces of high-fidelity polynomial structured parametric dynamical systems and model reduction.
Adv. Comput. Math., June, 2024

Model reduction for systems in non-standard form.
Dataset, January, 2024

Model reduction for second-order systems with inhomogeneous initial conditions.
Syst. Control. Lett., 2024

Active Sampling of Interpolation Points to Identify Dominant Subspaces for Model Reduction.
CoRR, 2024

𝓗<sub>2</sub> optimal model reduction of linear systems with multiple quadratic outputs.
CoRR, 2024

Stability-Certified Learning of Control Systems with Quadratic Nonlinearities.
CoRR, 2024

2023
Model order reduction for bilinear systems with non-zero initial states - different approaches with error bounds.
Int. J. Control, June, 2023

Guaranteed Stable Quadratic Models and their applications in SINDy and Operator Inference.
CoRR, 2023

Inference of Continuous Linear Systems from Data with Guaranteed Stability.
CoRR, 2023

Dominant Subspaces of High-Fidelity Nonlinear Structured Parametric Dynamical Systems and Model Reduction.
CoRR, 2023

2022
Operator Inference for Quadratic Manifold Encodings.
Dataset, September, 2022

Gramians, Energy Functionals, and Balanced Truncation for Linear Dynamical Systems With Quadratic Outputs.
IEEE Trans. Autom. Control., 2022

Full state approximation by Galerkin projection reduced order models for stochastic and bilinear systems.
Appl. Math. Comput., 2022

An iterative realization-free approach for model reduction of bilinear systems via Hermitian interpolation.
Proceedings of the European Control Conference, 2022

2021
Model order reduction for bilinear control systems with inhomogeneous initial conditions.
Int. J. Control, 2021

2020
New Gramians for Switched Linear Systems: Reachability, Observability, and Model Reduction.
IEEE Trans. Autom. Control., 2020

Operator Inference and Physics-Informed Learning of Low-Dimensional Models for Incompressible Flows.
CoRR, 2020

Toward fitting structured nonlinear systems by means of dynamic mode decomposition.
CoRR, 2020

2019
Balanced Truncation for a Special Class of Bilinear Descriptor Systems.
IEEE Control. Syst. Lett., 2019

Identification of Dominant Subspaces for Linear Structured Parametric Systems and Model Reduction.
CoRR, 2019

Data-Driven Identification of Rayleigh-Damped Second-Order Systems.
CoRR, 2019

Model order reduction of bilinear time-delay systems.
Proceedings of the 17th European Control Conference, 2019

2018
H2-optimal model approximation by input/output-delay structured reduced order models.
Syst. Control. Lett., 2018

New Gramians for Linear Switched Systems: Reachability, Observability, and Model Reduction.
CoRR, 2018

2017
Large-scale and infinite dimensional dynamical model approximation. (Approximation de modèles dynamiques de grande dimension et de dimension infinie).
PhD thesis, 2017

2016
From infinite dimensional modelling to parametric reduced-order approximation: Application to open-channel flow for hydroelectricity.
Proceedings of the 15th European Control Conference, 2016

2015
Optimal $\mathcal{H}_{2}$ model approximation based on multiple input/output delays systems.
CoRR, 2015

Realization independent single time-delay dynamical model interpolation and H<sub>2</sub>-optimal approximation.
CoRR, 2015

Approximation of stability regions for large-scale time-delay systems using model reduction techniques.
Proceedings of the 14th European Control Conference, 2015

Realization independent single time-delay dynamical model interpolation and ℋ2-optimal approximation.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015


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