Victor G. Lopez

CoRR, May, 2026

Beyond Shrinkage: Foundations of Data-Driven Control for Piecewise Affine Systems.

[BibT_eX]

[DOI]

Gianluca Giacomelli

Simone Formentin

Valentina Breschi

CoRR, May, 2026

An Output Feedback Q-learning Algorithm for Optimal Control of Nonlinear Systems with Koopman Linear Embedding.

[BibT_eX]

[DOI]

Malte Heinrich

CoRR, March, 2026

Sample-based detectability and moving horizon state estimation of continuous-time systems.

[BibT_eX]

[DOI]

CoRR, March, 2026

Tuning the burn-in phase in training recurrent neural networks improves their performance.

[BibT_eX]

[DOI]

CoRR, February, 2026

On Data-based Nash Equilibria in LQ Nonzero-sum Differential Games.

[BibT_eX]

[DOI]

CoRR, January, 2026

Data-based control of continuous-time linear systems with performance specifications.

[BibT_eX]

[DOI]

Autom., 2026

2025

Gaussian Process-Based Nonlinear Moving Horizon Estimation.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., December, 2025

Data-based Moving Horizon Estimation under Irregularly Measured Data.

[BibT_eX]

[DOI]

CoRR, December, 2025

Inference in Latent Force Models Using Optimal State Estimation.

[BibT_eX]

[DOI]

Thomas Beckers

CoRR, December, 2025

Estimating Hormone Concentrations in the Pituitary-Thyroid Feedback Loop from Irregularly Sampled Measurements.

[BibT_eX]

[DOI]

CoRR, December, 2025

Data-driven stabilization of nonlinear systems via descriptor embedding.

[BibT_eX]

[DOI]

Claudio De Persis

CoRR, November, 2025

Sample-based Moving Horizon Estimation.

[BibT_eX]

[DOI]

CoRR, October, 2025

Robust stability of event-triggered nonlinear moving horizon estimation.

[BibT_eX]

[DOI]

CoRR, October, 2025

Notes on Data-Driven Output-Feedback Control of Linear MIMO Systems.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., September, 2025

Sample-Based Nonlinear Detectability for Discrete-Time Systems.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., April, 2025

Data-Based System Representations From Irregularly Measured Data.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., January, 2025

On Sample-Based Functional Observability of Linear Systems.

[BibT_eX]

[DOI]

IEEE Control. Syst. Lett., 2025

Sufficient Conditions for Detectability of Approximately Discretized Nonlinear Systems.

[BibT_eX]

[DOI]

Proceedings of the 2025 European Control Conference, 2025

Local Observability of a Class of Feedforward Neural Networks.

[BibT_eX]

[DOI]

Yi Yang

Proceedings of the 64th IEEE Conference on Decision and Control, 2025

Insights into the explainability of Lasso-based DeePC for nonlinear systems.

[BibT_eX]

[DOI]

Gianluca Giacomelli

Simone Formentin

Valentina Breschi

Proceedings of the 64th IEEE Conference on Decision and Control, 2025

Gaussian Processes with Noisy Regression Inputs for Dynamical Systems.

[BibT_eX]

[DOI]

Proceedings of the 2025 American Control Conference, 2025

2024

Robust Data-Driven Moving Horizon Estimation for Linear Discrete-Time Systems.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., August, 2024

An Input-Output Continuous-Time Version of Willems' Lemma.

[BibT_eX]

[DOI]

Paolo Rapisarda

IEEE Control. Syst. Lett., 2024

Robust and efficient data-driven predictive control.

[BibT_eX]

[DOI]

Manuel Barkey

CoRR, 2024

Identification from data with periodically missing output samples.

[BibT_eX]

[DOI]

Ivan Markovsky

Autom., 2024

An efficient data-based off-policy Q-learning algorithm for optimal output feedback control of linear systems.

[BibT_eX]

[DOI]

Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024

Sample- and Computationally Efficient Data-Driven Predictive Control.

[BibT_eX]

[DOI]

Manuel Barkey

Proceedings of the European Control Conference, 2024

Data-Based System Representation and Synchronization for Multiagent Systems.

[BibT_eX]

[DOI]

Proceedings of the 63rd IEEE Conference on Decision and Control, 2024

Event-triggered moving horizon estimation for nonlinear systems.

[BibT_eX]

[DOI]

Julian D. Schiller

Proceedings of the 63rd IEEE Conference on Decision and Control, 2024

2023

Data-Based Control of Feedback Linearizable Systems.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., November, 2023

Beyond Nash Solutions for Differential Graphical Games.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., September, 2023

Data-Driven H<sub>∞</sub> Optimal Output Feedback Control for Linear Discrete-Time Systems Based on Off-Policy Q-Learning.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., July, 2023

Efficient Off-Policy Q-Learning for Data-Based Discrete-Time LQR Problems.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., May, 2023

On the Design of Persistently Exciting Inputs for Data-Driven Control of Linear and Nonlinear Systems.

[BibT_eX]

[DOI]

IEEE Control. Syst. Lett., 2023

Robust Stability of Gaussian Process Based Moving Horizon Estimation.

[BibT_eX]

[DOI]

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

An Efficient Off-Policy Reinforcement Learning Algorithm for the Continuous-Time LQR Problem.

[BibT_eX]

[DOI]

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022

Game-Theoretic Lane-Changing Decision Making and Payoff Learning for Autonomous Vehicles.

[BibT_eX]

[DOI]

IEEE Trans. Veh. Technol., 2022

Leader-Following Cluster Consensus as a Graphical Differential Game With a Nash Equilibrium Solution.

[BibT_eX]

[DOI]

IEEE Control. Syst. Lett., 2022

Data-driven Nonlinear Predictive Control for Feedback Linearizable Systems.

[BibT_eX]

[DOI]

CoRR, 2022

Practical exponential stability of a robust data-driven nonlinear predictive control scheme.

[BibT_eX]

[DOI]

CoRR, 2022

On the robustness of networked cooperative tracking systems.

[BibT_eX]

[DOI]

Autom., 2022

Data-Based Moving Horizon Estimation for Linear Discrete-Time Systems.

[BibT_eX]

[DOI]

Proceedings of the European Control Conference, 2022

On a Continuous-Time Version of Willems' Lemma.

[BibT_eX]

[DOI]

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Sample-based observability of linear discrete-time systems.

[BibT_eX]

[DOI]

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021

Off-Policy Reinforcement Learning for Tracking in Continuous-Time Systems on Two Time Scales.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2021

Differential Graphical Game With Distributed Global Nash Solution.

[BibT_eX]

[DOI]

IEEE Trans. Control. Netw. Syst., 2021

Data-Based System Analysis and Control of Flat Nonlinear Systems.

[BibT_eX]

[DOI]

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

2020

Adaptive Optimal Control for Stochastic Multiplayer Differential Games Using On-Policy and Off-Policy Reinforcement Learning.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2020

New Methods for Optimal Operational Control of Industrial Processes Using Reinforcement Learning on Two Time Scales.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Informatics, 2020

Bayesian Graphical Games for Synchronization in Networks of Dynamical Systems.

[BibT_eX]

[DOI]

Yan Wan

IEEE Trans. Control. Netw. Syst., 2020

Solutions for Multiagent Pursuit-Evasion Games on Communication Graphs: Finite-Time Capture and Asymptotic Behaviors.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2020

Stability and robustness analysis of minmax solutions for differential graphical games.

[BibT_eX]

[DOI]

Autom., 2020

Optimal dynamic Control Allocation with guaranteed constraints and online Reinforcement Learning.

[BibT_eX]

[DOI]

Patrik Kolaric

Autom., 2020

2019

Dynamic Multiobjective Control for Continuous-Time Systems Using Reinforcement Learning.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2019

Stochastic Two-Player Zero-Sum Learning Differential Games.

[BibT_eX]

[DOI]

Proceedings of the 15th IEEE International Conference on Control and Automation, 2019

Off-Policy Reinforcement-Learning Algorithm to Solve Minimax Games on Graphs.

[BibT_eX]

[DOI]

Kyriakos G. Vamvoudakis

Yan Wan

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

2018

Bayesian Graphical Games for Synchronization in Dynamical Systems.

[BibT_eX]

[DOI]

Yan Wan

Proceedings of the 2018 Annual American Control Conference, 2018

2017

Real-time neural inverse optimal control for a linear induction motor.

[BibT_eX]

[DOI]

Int. J. Control, 2017

2015

Real-time implementation of neural optimal control and state estimation for a linear induction motor.

[BibT_eX]

[DOI]

Neurocomputing, 2015

2013

Real-Time Implementation of a Neural Inverse Optimal Control for a Linear Induction Motor.

[BibT_eX]

[DOI]

Edgar N. Sánchez

Alma Y. Alanis

Proceedings of the Advance Trends in Soft Computing, 2013

Neural inverse optimal control for a linear induction motor.

[BibT_eX]

[DOI]

Edgar N. Sánchez

Alma Y. Alanis

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

PSO neural inverse optimal control for a linear induction motor.

[BibT_eX]

[DOI]