Scalable Distributed Reproduction Numbers of Network Epidemics with Differential Privacy.
CoRR, January, 2025
Modeling Epidemic Spread: A Gaussian Process Regression Approach.
IEEE Control. Syst. Lett., 2024
A Dissipativity Approach to Analyzing Composite Spreading Networks.
CoRR, 2024
Control of SIR Epidemics: Sacrificing Optimality for Feasibility.
CoRR, 2024
Modeling Model Predictive Control: A Category Theoretic Framework for Multistage Control Problems.
Proceedings of the American Control Conference, 2024
Differentially Private Computation of Basic Reproduction Numbers in Networked Epidemic Models.
Proceedings of the American Control Conference, 2024
Modeling and Predicting Epidemic Spread: A Gaussian Process Regression Approach.
CoRR, 2023
Reverse Engineering the Reproduction Number: A Framework for Data-Driven Counterfactual Analysis, Strategy Evaluation, and Feedback Control of Epidemics.
CoRR, 2023
Leveraging Opinions and Vaccination to Eradicate Networked Epidemics.
Proceedings of the European Control Conference, 2023
Characterizing Compositionality of LQR from the Categorical Perspective.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
Distributed Reproduction Numbers of Networked Epidemics.
Proceedings of the American Control Conference, 2023
On a Networked SIS Epidemic Model With Cooperative and Antagonistic Opinion Dynamics.
IEEE Trans. Control. Netw. Syst., 2022
Optimal Mitigation of SIR Epidemics Under Model Uncertainty.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
A Learning-Based Model Predictive Control Framework for Real-Time SIR Epidemic Mitigation.
Proceedings of the American Control Conference, 2022
Energy-Related Controllability of Signed Complex Networks With Laplacian Dynamics.
IEEE Trans. Autom. Control., 2021
Characterizing Energy-Related Controllability of Composite Complex Networks via Graph Product.
IEEE Trans. Autom. Control., 2021
On a Network SIS Epidemic Model with Cooperative and Antagonistic Opinion Dynamics.
CoRR, 2021
Design of controllable Leader-follower Networks via Memetic Algorithms.
Adv. Complex Syst., 2021
Peak Infection Time for a Networked SIR Epidemic with Opinion Dynamics.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021
Controllability Ensured Leader Group Selection on Signed Multiagent Networks.
IEEE Trans. Cybern., 2020
Characterizing controllable subspace and herdability of signed weighted networks via graph partition.
Autom., 2020
Characterizing Energy-Related Controllability of Complex Networks Via Cartesian Product.
Proceedings of the 16th IEEE International Conference on Control & Automation, 2020
Leader Group Selection for Herdability of Structurally Balanced Signed Networks.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020
Algebraic topological characterizations of structural balance in signed graphs.
Autom., 2019
Characterizing Herdability of Signed Networks via Graph Walks.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019
Leader Group Selection for Energy-Related Controllability of Signed Acyclic Graphs.
Proceedings of the 2019 American Control Conference, 2019
Topological Characterizations of Leader-Follower Controllability on Signed Path and Cycle Networks.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018