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10/10/2022
Towards a Theoretical Foundation of Policy Optimization for Learning Control Policies
Gradient-based methods have been widely used for system design and optim...
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07/26/2021
Distributed Neighbor Selection in Multi-agent Networks
Achieving consensus via nearest neighbor rules is an important prerequis...
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07/20/2021
Cluster Consensus on Matrix-weighted Switching Networks
This paper examines the cluster consensus problem of multi-agent systems...
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03/22/2021
D3PI: Data-Driven Distributed Policy Iteration for Homogeneous Interconnected Systems
Control of large-scale networked systems often necessitates the availabi...
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07/21/2020
Adaptive Traffic Control with Deep Reinforcement Learning: Towards State-of-the-art and Beyond
In this work, we study adaptive data-guided traffic planning and control...
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07/12/2020
Deep Learning-based Resource Allocation for Infrastructure Resilience
From an optimization point of view, resource allocation is one of the co...
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05/29/2020
Online Regulation of Unstable LTI Systems from a Single Trajectory
Recently, data-driven methods for control of dynamic systems have receiv...
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02/10/2018
Laplacian Dynamics on Cographs: Controllability Analysis through Joins and Unions
In this paper, we examine the controllability of Laplacian dynamic netwo...
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01/15/2018