Yuanqiu Mo

Orcid: 0000-0002-0500-5201

According to our database1, Yuanqiu Mo authored at least 23 papers between 2017 and 2025.

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Bibliography

2025
Distributed Neural Policy Gradient Algorithm for Global Convergence of Networked Multi-Agent Reinforcement Learning.
CoRR, May, 2025

Exploring a Favorable Tradeoff for Finding Every Efficient Path in Large-Scale Networks.
IEEE Trans. Cybern., April, 2025

Razumikhin-type ISS Lyapunov function and small gain theorem for discrete time time-delay systems with application to a biased min-consensus protocol.
Autom., 2025

2024
A Small-Gain Analysis for an All-Pairs Shortest-Path Algorithm: Global Exponential Input-to-State Stability.
IEEE Trans. Control. Netw. Syst., June, 2024

A Distributed Higher-Order $k$-Medoids Clustering Algorithm for Network Partition.
IEEE Trans. Netw. Sci. Eng., 2024

Integrating Sensing and Communication for IoT Systems: Task-Oriented Control Perspective.
IEEE Internet Things Mag., 2024

The distributed biased min-consensus protocol revisited: pre-specified finite time control strategies and small-gain based analysis.
CoRR, 2024

A Lyapunov-based small-gain theorem for finite time input-to-state stablity of discrete time infinite networks.
Proceedings of the 63rd IEEE Conference on Decision and Control, 2024

2023
Stability and Resilience of Distributed Information Spreading in Aggregate Computing.
IEEE Trans. Autom. Control., 2023

Finite Time Input-to-State Stability of Discrete Time Autonomous Systems.
IEEE Control. Syst. Lett., 2023

2022
A Lyapunov Analysis of a Most Probable Path Finding Algorithm.
IEEE Control. Syst. Lett., 2022

Near-optimal knowledge-free resilient leader election.
Autom., 2022

Small gain conditions for finite time input-to-state stability of interconnected discrete time systems.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021
A Lyapunov analysis of the continuous-time adaptive Bellman-Ford algorithm.
Syst. Control. Lett., 2021

Priority-enabled Load Balancing for Dispersed Computing.
Proceedings of the 5th IEEE International Conference on Fog and Edge Computing, 2021

Improved small gain conditions for input-to-state stability with respect to measurement functions: Discrete time networked system.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2019
Robustness of the Adaptive Bellman -Ford Algorithm: Global Stability and Ultimate Bounds.
IEEE Trans. Autom. Control., 2019

A Framework for Self-Adaptive Dispersal of Computing Services.
Proceedings of the IEEE 4th International Workshops on Foundations and Applications of Self* Systems, 2019

New Distributed Constraint Reasoning Algorithms for Load Balancing in Edge Computing.
Proceedings of the PRIMA 2019: Principles and Practice of Multi-Agent Systems, 2019

Global Uniform Asymptotic Stability of a Generalized Adaptive Bellman-Ford Algorithm.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018
An Aggregate Computing Approach to Self-Stabilizing Leader Election.
Proceedings of the 2018 IEEE 3rd International Workshops on Foundations and Applications of Self* Systems (FAS*W), 2018

Robust Stability of Spreading Blocks in Aggregate Computing.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017
Error in Self-Stabilizing Spanning-Tree Estimation of Collective State.
Proceedings of the 2nd IEEE International Workshops on Foundations and Applications of Self* Systems, 2017


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