Image de couverture de livre

eXplainable AI for data driven control: an inverse optimal control approach

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Porcari, Federico, Materassi, Donatello, Formentin, Simone
Format:	Preprint
Publié:	2025
Sujets:	Systems and Control
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Generative design of stabilizing controllers with diffusion models: the Youla approach
par: Cercola, Matteo, et autres
Publié: (2025)

Data-driven control of input saturated systems: a LMI-based approach
par: Porcari, Federico, et autres
Publié: (2023)

On the impact of regularization in data-driven predictive control
par: Breschi, Valentina, et autres
Publié: (2023)

Uncertainty-aware data-driven predictive control in a stochastic setting
par: Breschi, Valentina, et autres
Publié: (2022)

Bias correction and instrumental variables for direct data-driven model-reference control
par: Mejari, Manas, et autres
Publié: (2024)

Meta-learning of data-driven controllers with automatic model reference tuning: theory and experimental case study
par: Busetto, Riccardo, et autres
Publié: (2024)

Robust data-driven model-reference control of linear perturbed systems via sliding mode generation
par: Riva, Giorgio, et autres
Publié: (2026)

Optimization tools for Twin-in-the-Loop vehicle control design: analysis and yaw-rate tracking case study
par: Dettù, Federico, et autres
Publié: (2023)

One controller to rule them all
par: Busetto, Riccardo, et autres
Publié: (2024)

Toward Federated DeePC: borrowing data from similar systems
par: Vankan, Gert, et autres
Publié: (2025)

Explainable data-driven modeling via mixture of experts: towards effective blending of grey and black-box models
par: Leoni, Jessica, et autres
Publié: (2024)

Feedback dynamics in Politics: The interplay between sentiment and engagement
par: Formentin, Simone
Publié: (2025)

On the equivalence of direct and indirect data-driven predictive control approaches
par: Mattsson, Per, et autres
Publié: (2024)

Robust stability analysis of a simple data-driven model predictive control approach
par: Bongard, Joscha, et autres
Publié: (2021)

Pattern formation using an intrinsic optimal control approach
par: Li, Tianhao, et autres
Publié: (2025)

Harnessing Uncertainty for a Separation Principle in Direct Data-Driven Predictive Control
par: Chiuso, Alessandro, et autres
Publié: (2023)

XABPs: Towards eXplainable Autonomous Business Processes
par: Fettke, Peter, et autres
Publié: (2025)

Gaussian behaviors: representations and data-driven control
par: Sasfi, András, et autres
Publié: (2025)

Soft projections for robust data-driven control
par: Sasfi, András, et autres
Publié: (2026)

A feedback control approach to convex optimization with inequality constraints
par: Cerone, V., et autres
Publié: (2024)

Statistically consistent inverse optimal control for discrete-time indefinite linear-quadratic systems
par: Zhang, Han, et autres
Publié: (2022)

Automatic dimensionality reduction of Twin-in-the-Loop Observers
par: Delcaro, Giacomo, et autres
Publié: (2024)

The impact of modeling approaches on controlling safety-critical, highly perturbed systems: the case for data-driven models
par: Łaszkiewicz, Piotr, et autres
Publié: (2025)

Extending direct data-driven predictive control towards systems with finite control sets
par: Klädtke, Manuel, et autres
Publié: (2024)

Towards explainable data-driven predictive control with regularizations
par: Klädtke, Manuel, et autres
Publié: (2025)

Implicit predictors in regularized data-driven predictive control
par: Klädtke, Manuel, et autres
Publié: (2023)

Sample- and computationally efficient data-driven predictive control
par: Alsalti, Mohammad, et autres
Publié: (2023)

Robust and efficient data-driven predictive control
par: Alsalti, Mohammad, et autres
Publié: (2024)

A control system framework for counterfactuals: an optimization based approach
par: De Paola, Pierluigi Francesco, et autres
Publié: (2025)

An adaptive optimal control approach to monocular depth observability maximization
par: Ogri, Tochukwu Elijah, et autres
Publié: (2024)

Robustness certificates in data-driven non-convex optimization with additively-uncertain constraints
par: Gallo, Alexander J, et autres
Publié: (2026)

Data-driven feedforward control design for nonlinear systems: A control-oriented system identification approach
par: Bolderman, Max, et autres
Publié: (2023)

Robust data-driven learning and control of nonlinear systems. A Sontag's formula approach
par: Becerra-Mora, Yeyson A., et autres
Publié: (2023)

Data-driven control of continuous-time systems: A synthesis-operator approach
par: Wakaiki, Masashi
Publié: (2025)

Lossless optimal transient control for rigid bodies in 3D space
par: Zanella, Riccardo, et autres
Publié: (2024)

Model predictive quantum control: A modular approach for efficient and robust quantum optimal control
par: Guizani, Eya, et autres
Publié: (2025)

A minimax optimal control approach for robust neural ODEs
par: Cipriani, Cristina, et autres
Publié: (2023)

Shortest-path recovery from signature with an optimal control approach
par: Rauscher, Marco, et autres
Publié: (2023)

Passive nonlinear FIR filters for data-driven control
par: Wang, Zixing, et autres
Publié: (2025)

Learning swarm behaviour from a flock of homing pigeons using inverse optimal control
par: Islam, Afreen
Publié: (2026)