2024
Input-Constrained Prescribed Performance Control for High-Order MIMO Uncertain Nonlinear Systems via Reference Modification.
IEEE Trans. Autom. Control., May, 2024

Data-Driven Actuator Allocation for Actuator Redundant Systems.
IEEE Trans. Autom. Control., April, 2024

Learning-based actuator selection for increased attack resilience of uncertain systems.
Autom., January, 2024

Convergence Rates of Online Critic Value Function Approximation in Native Spaces.
IEEE Control. Syst. Lett., 2024

Policies with Sparse Inter-Agent Dependencies in Dynamic Games: A Dynamic Programming Approach.
CoRR, 2024

On the effect of clock offsets and quantization on learning-based adversarial games.
Autom., 2024

Poisoning Actuation Attacks Against the Learning of an Optimal Controller.
Proceedings of the American Control Conference, 2024

An Output Feedback Game-Theoretic Approach for Defense Against Stealthy GNSS Spoofing Attacks.
Proceedings of the American Control Conference, 2024

2023
Recursive Reasoning With Reduced Complexity and Intermittency for Nonequilibrium Learning in Stochastic Games.
IEEE Trans. Neural Networks Learn. Syst., November, 2023

Concurrent Receding Horizon Control and Estimation Against Stealthy Attacks.
IEEE Trans. Autom. Control., June, 2023

Input-Constrained Prescribed Performance Control for SISO Nonlinear Systems via Reference Relaxation.
Proceedings of the 31st Mediterranean Conference on Control and Automatio, 2023

Game-Theoretic Deception Methods for Perfectly and Bounded Rational Stealthy Attackers.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

A Physics-Informed Neural Networks Framework to Solve the Infinite-Horizon Optimal Control Problem.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Timing-Aware Resilience of Data-driven Off-policy Reinforcement Learning for Discrete-Time Systems.
Proceedings of the American Control Conference, 2023

Game Theory for Autonomy: From Min-Max Optimization to Equilibrium and Bounded Rationality Learning.
Proceedings of the American Control Conference, 2023

2022
Nonequilibrium dynamical games: A control systems perspective.
Annu. Rev. Control., 2022

Data-Based Actuator Selection for Optimal Control Allocation.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Impact of Sensor and Actuator Clock Offsets on Reinforcement Learning.
Proceedings of the American Control Conference, 2022

2021
Prescribed Performance Control for Discontinuous Output Reference Tracking.
IEEE Trans. Autom. Control., 2021

Detection of actuator faults for continuous-time systems with intermittent state feedback.
Syst. Control. Lett., 2021

Temporal-Logic-Based Intermittent, Optimal, and Safe Continuous-Time Learning for Trajectory Tracking.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Assured Learning-Based Optimal Control subject to Timed Temporal Logic Constraints.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Learning-Based Actuator Placement for Uncertain Systems.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Recursive Reasoning for Bounded Rationality in Multi-Agent Non-Equilibrium Play Learning Systems.
Proceedings of the IEEE Conference on Control Technology and Applications, 2021

2020
A Meta-Learning and Bounded Rationality Framework for Repeated Games in Adversarial Environments.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Constrained Differential Games for Secure Decision-Making Against Stealthy Attacks.
Proceedings of the 2020 American Control Conference, 2020

2017
Towards Progressive Automation of Repetitive Tasks Through Physical Human-Robot Interaction.
Proceedings of the Human Friendly Robotics, 10th International Workshop, 2017