:: Library Catalog

Buchumschlag

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Song, Fei, Wang, Zhe, Li, Jun, Shi, Long, Chen, Wen, Jin, Shi
Format:	Preprint
Veröffentlicht:	2024
Schlagworte:	Systems and Control
Online-Zugang:	https://arxiv.org/abs/2411.14052
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

Distributed Uplink Power Control in an Ultra-Dense Millimeter Wave Network: A Mean-field Game Approach
von: Abuzainab, Nof, et al.
Veröffentlicht: (2019)

Traffic-Aware Mean-Field Power Allocation for Ultra-Dense NB-IoT Networks
von: Nadif, Sami, et al.
Veröffentlicht: (2022)

Joint Coverage and Power Control in Highly Dynamic and Massive UAV Networks: An Aggregative Game-theoretic Learning Approach
von: Li, Zhuoying, et al.
Veröffentlicht: (2019)

Power Allocation for Delay Optimization in Device-to-Device Networks: A Graph Reinforcement Learning Approach
von: Fang, Hao, et al.
Veröffentlicht: (2025)

Robust Mean Field Social Control: A Unified Reinforcement Learning Framework
von: Xu, Zhenhui, et al.
Veröffentlicht: (2025)

A Holistic Power Optimization Approach for Microgrid Control Based on Deep Reinforcement Learning
von: Yao, Fulong, et al.
Veröffentlicht: (2024)

Mean-Field Learning for Storage Aggregation
von: Liu, Jingguan, et al.
Veröffentlicht: (2026)

A Control Theoretic Approach to Simultaneously Estimate Average Value of Time and Determine Dynamic Price for High-occupancy Toll Lanes
von: Wang, Xuting, et al.
Veröffentlicht: (2024)

Graphon Mean-Field Control for Cooperative Multi-Agent Reinforcement Learning
von: Hu, Yuanquan, et al.
Veröffentlicht: (2022)

Green Emergency Communications in RIS- and MA-Assisted Multi-UAV SAGINs: A Partially Observable Reinforcement Learning Approach
von: Wu, Liangshun, et al.
Veröffentlicht: (2025)

Learning with Linear Function Approximations in Mean-Field Control
von: Bayraktar, Erhan, et al.
Veröffentlicht: (2024)

GMPC: Geometric Model Predictive Control for Wheeled Mobile Robot Trajectory Tracking
von: Tang, Jiawei, et al.
Veröffentlicht: (2024)

Safe Reinforcement Learning for Power System Control: A Review
von: Yu, Peipei, et al.
Veröffentlicht: (2024)

Implementing Deep Reinforcement Learning-Based Grid Voltage Control in Real-World Power Systems: Challenges and Insights
von: Shi, Di, et al.
Veröffentlicht: (2024)

Beacon-enabled TDMA Ultraviolet Communication Network System Design and Realization
von: Pan, Yuchen, et al.
Veröffentlicht: (2023)

A Self-Supervised Learning Approach with Differentiable Optimization for UAV Trajectory Planning
von: Jiang, Yufei, et al.
Veröffentlicht: (2025)

Auto-Optimization with Active Learning in Uncertain Environment: A Predictive Control Approach
von: Tan, Yuan, et al.
Veröffentlicht: (2025)

Data-Driven Network LQG Mean Field Games with Heterogeneous Populations via Integral Reinforcement Learning
von: Zhu, Jean, et al.
Veröffentlicht: (2026)

Online Coreset Selection for Learning Dynamic Systems
von: Li, Jingyuan, et al.
Veröffentlicht: (2025)

On Correcting Errors in Existing Mathematical Approaches for UAV Trajectory Design Considering No-Fly-Zones
von: Heo, Kanghyun, et al.
Veröffentlicht: (2023)

Unified Control of Voltage, Frequency and Angle in Electrical Power Systems: A Passivity and Negative-Imaginary based Approach
von: Chen, Yijun, et al.
Veröffentlicht: (2024)

Reinforcement Learning-Based Controlled Switching Approach for Inrush Current Minimization in Power Transformers
von: Valdivielso, Jone Ugarte, et al.
Veröffentlicht: (2025)

Networked Control and Mean Field Problems Under Diagonal Dominance: Decentralized and Social Optimality
von: Khatana, Vivek, et al.
Veröffentlicht: (2025)

Analysis of Multiscale Reinforcement Q-Learning Algorithms for Mean Field Control Games
von: Angiuli, Andrea, et al.
Veröffentlicht: (2024)

Cooperative ISAC for LAE: Joint Trajectory Planning, Power allocation, and Dynamic Time Division
von: Li, Fangzhi, et al.
Veröffentlicht: (2025)

Privacy Preservation by Local Design in Cooperative Networked Control Systems
von: Yang, Chao, et al.
Veröffentlicht: (2022)

SMART: Scalable Multi-Agent Reasoning and Trajectory Planning in Dense Environments
von: Huang, Heye, et al.
Veröffentlicht: (2025)

Mean Field Game and Control for Switching Hybrid Systems
von: C., Tejaswi K., et al.
Veröffentlicht: (2024)

Reach-Avoid Control Synthesis for a Quadrotor UAV with Formal Safety Guarantees
von: Serry, Mohamed, et al.
Veröffentlicht: (2024)

Power Swing Trajectory Influenced by Virtual Impedance-Based Current-Limiting Strategy
von: Niu, Yanshu, et al.
Veröffentlicht: (2025)

Carbon-Aware Optimal Power Flow
von: Chen, Xin, et al.
Veröffentlicht: (2023)

Robust Cooperative Multi-Agent Reinforcement Learning:A Mean-Field Type Game Perspective
von: Zaman, Muhammad Aneeq uz, et al.
Veröffentlicht: (2024)

Towards Microgrid Resilience Enhancement via Mobile Power Sources and Repair Crews: A Multi-Agent Reinforcement Learning Approach
von: Wang, Yi, et al.
Veröffentlicht: (2025)

DiffOP: Reinforcement Learning of Optimization-Based Control Policies via Implicit Policy Gradients
von: Bian, Yuexin, et al.
Veröffentlicht: (2024)

Dual Control of Exploration and Exploitation for Auto-Optimisation Control with Active Learning
von: Li, Zhongguo, et al.
Veröffentlicht: (2023)

Composite Nonlinear Trajectory Tracking Control of Co-Driving Vehicles Using Self-Triggered Adaptive Dynamic Programming
von: Hu, Chuan, et al.
Veröffentlicht: (2025)

Stabilizing Traffic via Autonomous Vehicles: A Continuum Mean Field Game Approach
von: Huang, Kuang, et al.
Veröffentlicht: (2019)

Constrained Reinforcement Learning for Predictive Control in Real-Time Stochastic Dynamic Optimal Power Flow
von: Wu, Tong, et al.
Veröffentlicht: (2023)

Learning the Frequency Dynamics of the Power System Using Higher-order Dynamic Mode Decomposition
von: Li, Xiao, et al.
Veröffentlicht: (2025)

Learning with Dynamics: Autonomous Regulation of UAV Based Communication Networks with Dynamic UAV Crew
von: Zhang, Ran, et al.
Veröffentlicht: (2024)