Victor G. Lopez

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 46

Top Topics

Reinforcement Learning

Nash Equilibrium

Top Venues

IEEE Trans. Autom. Control.

IEEE Trans. Neural Networks Learn. Syst.

Publications

Tobias M. Wolff, Victor G. Lopez, Matthias Albrecht Müller
Gaussian Process-Based Nonlinear Moving Horizon Estimation. CoRR (2024)
Mohammad Alsalti, Victor G. Lopez, Matthias Albrecht Müller
An efficient data-based off-policy Q-learning algorithm for optimal output feedback control of linear systems. CoRR (2023)
Mohammad Alsalti, Ivan Markovsky, Victor G. Lopez, Matthias Albrecht Müller
Data-based system representations from irregularly measured data. CoRR (2023)
Tobias M. Wolff, Victor G. Lopez, Matthias Albrecht Müller
Robust Stability of Gaussian Process Based Moving Horizon Estimation. CDC (2023)
Isabelle Krauss, Victor G. Lopez, Matthias Albrecht Müller
Sample-based nonlinear detectability for discrete-time systems. CoRR (2023)
Mohammad Alsalti, Victor G. Lopez, Matthias Albrecht Müller
On the Design of Persistently Exciting Inputs for Data-Driven Control of Linear and Nonlinear Systems. IEEE Control. Syst. Lett. 7 (2023)
Mohammad Alsalti, Victor G. Lopez, Julian Berberich, Frank Allgöwer, Matthias A. Müller
Data-Based Control of Feedback Linearizable Systems. IEEE Trans. Autom. Control. 68 (11) (2023)
Mohammad Alsalti, Victor G. Lopez, Matthias Albrecht Müller
Notes on data-driven output-feedback control of linear MIMO systems. CoRR (2023)
Tobias M. Wolff, Victor G. Lopez, Matthias Albrecht Müller
Robust Stability of Gaussian Process Based Moving Horizon Estimation. CoRR (2023)
Victor G. Lopez, Matthias Albrecht Müller
An Efficient Off-Policy Reinforcement Learning Algorithm for the Continuous-Time LQR Problem. CDC (2023)
Victor G. Lopez, Mohammad Alsalti, Matthias A. Müller
Efficient Off-Policy Q-Learning for Data-Based Discrete-Time LQR Problems. IEEE Trans. Autom. Control. 68 (5) (2023)
Victor G. Lopez, Matthias Albrecht Müller
An Efficient Off-Policy Reinforcement Learning Algorithm for the Continuous-Time LQR Problem. CoRR (2023)
Victor G. Lopez, Frank L. Lewis, Mushuang Liu, Yan Wan
Beyond Nash Solutions for Differential Graphical Games. IEEE Trans. Autom. Control. 68 (9) (2023)
Mohammad Alsalti, Victor G. Lopez, Matthias Albrecht Müller
On the design of persistently exciting inputs for data-driven control of linear and nonlinear systems. CoRR (2023)
Li Zhang, Jialu Fan, Wenqian Xue, Victor G. Lopez, Jinna Li, Tianyou Chai, Frank L. Lewis
Optimal Output Feedback Control for Linear Discrete-Time Systems Based on Off-Policy Q-Learning. IEEE Trans. Neural Networks Learn. Syst. 34 (7) (2023)
Mohammad Alsalti, Manuel Barkey, Victor G. Lopez, Matthias Albrecht Müller
Sample- and computationally efficient data-driven predictive control. CoRR (2023)
Victor G. Lopez, Frank L. Lewis, Mushuang Liu, Yan Wan, Subramanya Nageshrao, Dimitar P. Filev
Game-Theoretic Lane-Changing Decision Making and Payoff Learning for Autonomous Vehicles. IEEE Trans. Veh. Technol. 71 (4) (2022)
Isabelle Krauss, Victor G. Lopez, Matthias Albrecht Müller
Sample-based observability of linear discrete-time systems. CDC (2022)
Maryam N. Naleini, Ahmet Taha Koru, Yusuf Kartal, Victor G. Lopez, Frank L. Lewis
Leader-Following Cluster Consensus as a Graphical Differential Game With a Nash Equilibrium Solution. IEEE Control. Syst. Lett. 6 (2022)
Mushuang Liu, Yan Wan, Victor G. Lopez, Frank L. Lewis, Gary A. Hewer, Katia Estabridis
On the robustness of networked cooperative tracking systems. Autom. 141 (2022)
Mohammad Alsalti, Victor G. Lopez, Julian Berberich, Frank Allgöwer, Matthias A. Müller
Practical exponential stability of a robust data-driven nonlinear predictive control scheme. CoRR (2022)
Victor G. Lopez, Matthias A. Müller
On a Continuous-Time Version of Willems' Lemma. CoRR (2022)
Tobias M. Wolff, Victor G. Lopez, Matthias A. Müller
Robust Data-Driven Moving Horizon Estimation for Linear Discrete-Time Systems. CoRR (2022)
Mohammad Alsalti, Victor G. Lopez, Julian Berberich, Frank Allgöwer, Matthias A. Müller
Data-driven Nonlinear Predictive Control for Feedback Linearizable Systems. CoRR (2022)
Isabelle Krauss, Victor G. Lopez, Matthias A. Müller
Sample-based observability of linear discrete-time systems. CoRR (2022)
Tobias M. Wolff, Victor G. Lopez, Matthias A. Müller
Data-Based Moving Horizon Estimation for Linear Discrete-Time Systems. ECC (2022)
Mohammad Alsalti, Victor G. Lopez, Julian Berberich, Frank Allgöwer, Matthias A. Müller
Data-based Control of Feedback Linearizable Systems. CoRR (2022)
Victor G. Lopez, Matthias Albrecht Müller
On a Continuous-Time Version of Willems' Lemma. CDC (2022)
Tobias M. Wolff, Victor G. Lopez, Matthias A. Müller
Data-Based Moving Horizon Estimation for Linear Discrete-Time Systems. CoRR (2021)
Victor G. Lopez, Mohammad Alsalti, Matthias A. Müller
Efficient Off-Policy Q-Learning for Data-Based Discrete-Time LQR Problems. CoRR (2021)
Mushuang Liu, Yan Wan, Victor G. Lopez, Frank L. Lewis, Gary A. Hewer, Katia Estabridis
Differential Graphical Game With Distributed Global Nash Solution. IEEE Trans. Control. Netw. Syst. 8 (3) (2021)
Wenqian Xue, Jialu Fan, Victor G. Lopez, Yi Jiang, Tianyou Chai, Frank L. Lewis
Off-Policy Reinforcement Learning for Tracking in Continuous-Time Systems on Two Time Scales. IEEE Trans. Neural Networks Learn. Syst. 32 (10) (2021)
Mohammad Alsalti, Julian Berberich, Victor G. Lopez, Frank Allgöwer, Matthias A. Müller
Data-Based System Analysis and Control of Flat Nonlinear Systems. CoRR (2021)
Mohammad Alsalti, Julian Berberich, Victor G. Lopez, Frank Allgöwer, Matthias A. Müller
Data-Based System Analysis and Control of Flat Nonlinear Systems. CDC (2021)
Patrik Kolaric, Victor G. Lopez, Frank L. Lewis
Optimal dynamic Control Allocation with guaranteed constraints and online Reinforcement Learning. Autom. 122 (2020)
Wenqian Xue, Jialu Fan, Victor G. Lopez, Jinna Li, Yi Jiang, Tianyou Chai, Frank L. Lewis
New Methods for Optimal Operational Control of Industrial Processes Using Reinforcement Learning on Two Time Scales. IEEE Trans. Ind. Informatics 16 (5) (2020)
Victor G. Lopez, Frank L. Lewis, Yan Wan, Edgar N. Sánchez, Lingling Fan
Solutions for Multiagent Pursuit-Evasion Games on Communication Graphs: Finite-Time Capture and Asymptotic Behaviors. IEEE Trans. Autom. Control. 65 (5) (2020)
Mushuang Liu, Yan Wan, Frank L. Lewis, Victor G. Lopez
Adaptive Optimal Control for Stochastic Multiplayer Differential Games Using On-Policy and Off-Policy Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 31 (12) (2020)
Victor G. Lopez, Frank L. Lewis, Yan Wan, Mushuang Liu, Gary A. Hewer, Katia Estabridis
Stability and robustness analysis of minmax solutions for differential graphical games. Autom. 121 (2020)
Victor G. Lopez, Yan Wan, Frank L. Lewis
Bayesian Graphical Games for Synchronization in Networks of Dynamical Systems. IEEE Trans. Control. Netw. Syst. 7 (2) (2020)
Victor G. Lopez, Frank L. Lewis
Dynamic Multiobjective Control for Continuous-Time Systems Using Reinforcement Learning. IEEE Trans. Autom. Control. 64 (7) (2019)
Mushuang Liu, Yan Wan, Frank L. Lewis, Victor G. Lopez
Stochastic Two-Player Zero-Sum Learning Differential Games. ICCA (2019)
Victor G. Lopez, Kyriakos G. Vamvoudakis, Yan Wan, Frank L. Lewis
Off-Policy Reinforcement-Learning Algorithm to Solve Minimax Games on Graphs. CDC (2019)
Victor G. Lopez, Yan Wan, Frank L. Lewis
Bayesian Graphical Games for Synchronization in Dynamical Systems. ACC (2018)
Victor G. Lopez, Edgar N. Sánchez, Alma Y. Alanis, Jorge D. Rios
Real-time neural inverse optimal control for a linear induction motor. Int. J. Control 90 (4) (2017)
Victor G. Lopez, Alma Y. Alanis, Edgar N. Sánchez, Jorge Rivera
Real-time implementation of neural optimal control and state estimation for a linear induction motor. Neurocomputing 152 (2015)
Victor G. Lopez, Edgar N. Sánchez, Alma Y. Alanis
Real-Time Implementation of a Neural Inverse Optimal Control for a Linear Induction Motor. WCSC (2013)
Victor G. Lopez, Edgar N. Sánchez, Alma Y. Alanis
Neural inverse optimal control for a linear induction motor. IJCNN (2013)
Victor G. Lopez, Edgar N. Sánchez, Alma Y. Alanis
PSO neural inverse optimal control for a linear induction motor. IEEE Congress on Evolutionary Computation (2013)