Online Actuator Selection and Controller Design for Linear Quadratic Regulation With an Unknown System Model.
IEEE Trans. Autom. Control., January, 2025
Resilient Multiagent Reinforcement Learning With Function Approximation.
IEEE Trans. Autom. Control., December, 2024
Learning Decentralized Linear Quadratic Regulators with \({\sqrt{T}}\) Regret.
SIAM J. Control. Optim., 2024
Online Convex Optimization with Memory and Limited Predictions.
CoRR, 2024
Submodular Maximization Approaches for Equitable Client Selection in Federated Learning.
CoRR, 2024
Towards model-free LQR control over rate-limited channels.
Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024
Maximization of nonsubmodular functions under multiple constraints with applications.
Autom., September, 2023
On the Sample Complexity of Decentralized Linear Quadratic Regulator With Partially Nested Information Structure.
IEEE Trans. Autom. Control., August, 2023
Learning Dynamical Systems by Leveraging Data from Similar Systems.
CoRR, 2023
Parameter Estimation in Epidemic Spread Networks Using Limited Measurements.
SIAM J. Control. Optim., 2022
Cascaded Residual Densely Connected Network for Image Super-Resolution.
KSII Trans. Internet Inf. Syst., 2022
Regret Bounds for Learning Decentralized Linear Quadratic Regulator with Partially Nested Information Structure.
CoRR, 2022
Online Actuator Selection and Controller Design for Linear Quadratic Regulation over a Finite Horizon.
CoRR, 2022
Dissipativity-based Voltage Control in Distribution Grids.
Proceedings of the 2022 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2022
Model-free Learning for Risk-constrained Linear Quadratic Regulator with Structured Feedback in Networked Systems.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
Identifying the Dynamics of a System by Leveraging Data from Similar Systems.
Proceedings of the American Control Conference, 2022
On the Complexity and Approximability of Optimal Sensor Selection and Attack for Kalman Filtering.
IEEE Trans. Autom. Control., 2021
Near-Optimal Data Source Selection for Bayesian Learning.
Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021
Client Scheduling for Federated Learning over Wireless Networks: A Submodular Optimization Approach.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021
Resilient Sensor Placement for Kalman Filtering in Networked Systems: Complexity and Algorithms.
IEEE Trans. Control. Netw. Syst., 2020
Distributed Maximization of Submodular and Approximately Submodular Functions.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020
Sensor Selection for Hypothesis Testing: Complexity and Greedy Algorithms.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019
Optimal Sensor Placement for Kalman Filtering in Stochastically Forced Consensus Networks.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018
On the Complexity and Approximability of Optimal Sensor Selection for Kalman Filtering.
Proceedings of the 2018 Annual American Control Conference, 2018