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08/29/2023
Decentralized Multi-agent Reinforcement Learning based State-of-Charge Balancing Strategy for Distributed Energy Storage System
This paper develops a Decentralized Multi-Agent Reinforcement Learning (...
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07/03/2023
Model-Assisted Probabilistic Safe Adaptive Control With Meta-Bayesian Learning
Breaking safety constraints in control systems can lead to potential ris...
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05/19/2023
Nonconvex Robust High-Order Tensor Completion Using Randomized Low-Rank Approximation
Within the tensor singular value decomposition (T-SVD) framework, existi...
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03/22/2023
Resilient Output Consensus Control of Heterogeneous Multi-agent Systems against Byzantine Attacks: A Twin Layer Approach
This paper studies the problem of cooperative control of heterogeneous m...
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03/22/2023
Optimal Resource Allocation between Two Nonfully Cooperative Wireless Networks under Malicious Attacks: A Gestalt Game Perspective
In this paper, the problem of seeking optimal distributed resource alloc...
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03/22/2023
Data-Driven Leader-following Consensus for Nonlinear Multi-Agent Systems against Composite Attacks: A Twins Layer Approach
This paper studies the leader-following consensuses of uncertain and non...
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03/22/2023
Resilient Output Containment Control of Heterogeneous Multiagent Systems Against Composite Attacks: A Digital Twin Approach
This paper studies the distributed resilient output containment control ...
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03/08/2022
Towards Safe and Efficient Swarm-Human Collaboration: A Hierarchical Multi-Agent Pickup and Delivery framework
The multi-Agent Pickup and Delivery (MAPD) problem is crucial in the rea...
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11/15/2021
AutoGMap: Learning to Map Large-scale Sparse Graphs on Memristive Crossbars
The sparse representation of graphs has shown its great potential for ac...
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11/06/2021
TND-NAS: Towards Non-differentiable Objectives in Progressive Differentiable NAS Framework
Differentiable architecture search has gradually become the mainstream r...
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02/23/2021
Resilient Path Planning of UAVs against Covert Attacks on UWB Sensors
In this letter, a resilient path planning scheme is proposed to navigate...
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10/11/2014
Q-learning for Optimal Control of Continuous-time Systems
In this paper, two Q-learning (QL) methods are proposed and their conver...
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11/24/2013
