Picture for Tingwen Huang

Tingwen Huang

Decentralized Multi-agent Reinforcement Learning based State-of-Charge Balancing Strategy for Distributed Energy Storage System

Add code
Aug 29, 2023
Viaarxiv icon

Model-Assisted Probabilistic Safe Adaptive Control With Meta-Bayesian Learning

Add code
Jul 13, 2023
Viaarxiv icon

Nonconvex Robust High-Order Tensor Completion Using Randomized Low-Rank Approximation

Add code
May 19, 2023
Viaarxiv icon

Resilient Output Containment Control of Heterogeneous Multiagent Systems Against Composite Attacks: A Digital Twin Approach

Add code
Mar 22, 2023
Viaarxiv icon

Resilient Output Consensus Control of Heterogeneous Multi-agent Systems against Byzantine Attacks: A Twin Layer Approach

Add code
Mar 22, 2023
Viaarxiv icon

Data-Driven Leader-following Consensus for Nonlinear Multi-Agent Systems against Composite Attacks: A Twins Layer Approach

Add code
Mar 22, 2023
Viaarxiv icon

AutoGMap: Learning to Map Large-scale Sparse Graphs on Memristive Crossbars

Add code
Nov 15, 2021
Figure 1 for AutoGMap: Learning to Map Large-scale Sparse Graphs on Memristive Crossbars
Figure 2 for AutoGMap: Learning to Map Large-scale Sparse Graphs on Memristive Crossbars
Figure 3 for AutoGMap: Learning to Map Large-scale Sparse Graphs on Memristive Crossbars
Figure 4 for AutoGMap: Learning to Map Large-scale Sparse Graphs on Memristive Crossbars
Viaarxiv icon

TND-NAS: Towards Non-differentiable Objectives in Progressive Differentiable NAS Framework

Add code
Nov 06, 2021
Figure 1 for TND-NAS: Towards Non-differentiable Objectives in Progressive Differentiable NAS Framework
Figure 2 for TND-NAS: Towards Non-differentiable Objectives in Progressive Differentiable NAS Framework
Figure 3 for TND-NAS: Towards Non-differentiable Objectives in Progressive Differentiable NAS Framework
Figure 4 for TND-NAS: Towards Non-differentiable Objectives in Progressive Differentiable NAS Framework
Viaarxiv icon

Resilient Path Planning of UAVs against Covert Attacks on UWB Sensors

Add code
Feb 28, 2021
Figure 1 for Resilient Path Planning of UAVs against Covert Attacks on UWB Sensors
Figure 2 for Resilient Path Planning of UAVs against Covert Attacks on UWB Sensors
Figure 3 for Resilient Path Planning of UAVs against Covert Attacks on UWB Sensors
Figure 4 for Resilient Path Planning of UAVs against Covert Attacks on UWB Sensors
Viaarxiv icon

Q-learning for Optimal Control of Continuous-time Systems

Add code
Oct 11, 2014
Figure 1 for Q-learning for Optimal Control of Continuous-time Systems
Figure 2 for Q-learning for Optimal Control of Continuous-time Systems
Figure 3 for Q-learning for Optimal Control of Continuous-time Systems
Figure 4 for Q-learning for Optimal Control of Continuous-time Systems
Viaarxiv icon