Systems and Control

Papers filed under eess.SY on arXiv, each one already summarized by Paperlayer. Open any of them to read the summary beside the original PDF, with every point linked to the line, figure, or table it came from.

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1,921 to 1,980 of 2,215

A Marginal Cost Consensus Scheme with Reset Mechanism for Distributed Economic Dispatch in BESSs
Yalin Zhang, Zhongxin Liu, Zengqiang Chen
eess.SYarXiv:2609.19068v12026
Cooperative Internet of UAVs: Distributed Trajectory Design by Multi-agent Deep Reinforcement Learning
Jingzhi Hu, Hongliang Zhang, Lingyang Song +2
eess.SPeess.SYarXiv:2007.14297v12020
Gossip consensus algorithms via quantized communication
Ruggero Carli, Fabio Fagnani, Paolo Frasca +1
math.OCeess.SYarXiv:0907.0748v22009
Token Economy Design for Fair and Efficient Highway Congestion Management with Express Lanes
Leonardo Pedroso, Juan Pablo Bertucci, W. P. M. H. Heemels +1
eess.SYcs.GTcs.SYarXiv:2610.01680v12026
A unified power-grid representation for reuse across network structures and computational tasks
Yanhao Huang, Changqing Liu, Zichang Wang +1
eess.SYcs.SYarXiv:2609.07650v12026
Decentralized Safe Multi-Agent Reinforcement Learning via Predictive Shielding
Yacine El Yamani, Hanna Krasowski, Elena Vanneaux
eess.SYcs.AIcs.MAarXiv:2609.07618v12026
SiLR: Structure-Preserving Admission and Process Reward for LLM Tool Agents
Chenyu Zhou, Qiliang Jiang, Shuning Wu +1
cs.AIcs.LGeess.SYarXiv:2609.04629v12026
Forward-Backward Stochastic Neural Networks: Deep Learning of High-dimensional Partial Differential Equations
Maziar Raissi
stat.MLcs.LGeess.SYarXiv:1804.07010v12018
Safe Planning in Dynamic Environments using Conformal Prediction
Lars Lindemann, Matthew Cleaveland, Gihyun Shim +1
cs.ROeess.SYarXiv:2210.10254v22022
TD-STGT: A Spatio-Temporal Graph Transformer for Mobile Traffic Demand Forecasting
Mohamad Alkadamani, Halim Yanikomeroglu
eess.SYcs.AIcs.LGarXiv:2609.06636v12026
A Survey of Beam Management for mmWave and THz Communications Towards 6G
Qing Xue, Chengwang Ji, Shaodan Ma +4
cs.ITeess.SYarXiv:2308.02135v22023
Controller Synthesis for Safety and Reachability via Approximate Bisimulation
Antoine Girard
eess.SYcs.LOcs.SYarXiv:1010.4672v22010
Headroom-Aware Stochastic Adaptive Model Predictive Control for Load Frequency Control in Microgrids
Erfan Mehdipour Abadi, Shuo Yuan, Le Yi Wang +2
eess.SYarXiv:2609.05332v12026
Deep Reinforcement Learning for Smart Home Energy Management
Liang Yu, Weiwei Xie, Di Xie +6
eess.SYarXiv:1909.10165v22019
Minimal Controllability Problems
Alex Olshevsky
math.OCeess.SYarXiv:1304.3071v72013
A scalable computational framework for establishing long-term behavior of stochastic reaction networks
Ankit Gupta, Corentin Briat, Mustafa Khammash
q-bio.MNcs.SYeess.SYarXiv:1304.5404v32013
Datacenter Traffic Control: Understanding Techniques and Trade-offs
Mohammad Noormohammadpour, Cauligi S. Raghavendra
cs.NIcs.DCcs.PFarXiv:1712.03530v12017
Interpretable Imitation Learning via Generative Adversarial STL Inference and Control
Wenliang Liu, Danyang Li, Erfan Aasi +3
cs.LGcs.SYeess.SYarXiv:2402.10310v22024
Fully Online Decentralized Learning in Stochastic Games with Unknown Independent Chains
S. Rasoul Etesami
cs.LGcs.GTcs.MAarXiv:2610.01181v12026
Dynamic Watermarking: Active Defense of Networked Cyber-Physical Systems
Bharadwaj Satchidanandan, P. R. Kumar
eess.SYmath.DSarXiv:1606.08741v12016
Concurrent learning-based approximate optimal regulation
Rushikesh Kamalapurkar, Patrick Walters, Warren Dixon
eess.SYmath.OCarXiv:1304.3477v12013
The Responsibility Vacuum: Organizational Failure in Scaled Agent Systems
Oleg Romanchuk, Roman Bondar
cs.AIeess.SYarXiv:2601.15059v12026
Co-Evolving Robot Orchestrators and Policies through Deployment
Xilun Zhang, Maggie Wang, Erik Bauer +4
cs.ROcs.SYeess.SYarXiv:2610.09228v12026
LLM-Enabled UAV Dispatch: A System-Level Survey and Taxonomy
Xiao Han, Aoyang Quan, Xiangyu Zhao +2
cs.AIcs.SYeess.SYarXiv:2610.09466v12026
Liquidation in Limit Order Books with Controlled Intensity
Erhan Bayraktar, Michael Ludkovski
q-fin.TRcs.SYeess.SYarXiv:1105.0247v52011
PROMO: Preference-conditioned Multi-Objective Reinforcement Learning for Quadrupedal Robots
Amr Mousa, Rifny Rachman, Neil Karavis +2
cs.ROcs.AIcs.HCarXiv:2610.01260v12026
Exploiting symmetries in SDP-relaxations for polynomial optimization
Cordian Riener, Thorsten Theobald, Lina Jansson Andrén +1
math.OCcs.SYeess.SYarXiv:1103.0486v32011
Opinion fluctuations and disagreement in social networks
Daron Acemoglu, Giacomo Como, Fabio Fagnani +1
cs.SIeess.SYmath.OCarXiv:1009.2653v42010
Policy Optimization for $\mathcal{H}_2$ Linear Control with $\mathcal{H}_\infty$ Robustness Guarantee: Implicit Regularization and Global Convergence
Kaiqing Zhang, Bin Hu, Tamer Başar
math.OCcs.LGeess.SYarXiv:1910.09496v32019
A Latent Space Optimization Approach for Symbolic Discovery of Dynamical Models
Tongjia Liu, Ilias Mitrai
eess.SYcs.SYarXiv:2610.11059v12026
Convergence and sample complexity of gradient methods for the model-free linear quadratic regulator problem
Hesameddin Mohammadi, Armin Zare, Mahdi Soltanolkotabi +1
math.OCcs.AIcs.LGarXiv:1912.11899v32019
Optimal Portfolio Liquidation with Limit Orders
Olivier Guéant, Charles-Albert Lehalle, Joaquin Fernandez Tapia
q-fin.TReess.SYmath.OCarXiv:1106.3279v62011
Blockchain-Based Decentralized Energy Management Platform for Residential Distributed Energy Resources in A Virtual Power Plant
Qing Yang, Hao Wang, Taotao Wang +3
eess.SYcs.CRcs.DCarXiv:2105.00174v22021
Multi-Agent Reinforcement Learning for Joint Handover Management and Power Allocation in Multi-Orbit Satellite Networks
Yassine Afif, Ashutosh Balakrishnan, Philippe Martins +3
eess.SPeess.SYarXiv:2608.14335v12026
From Pixels to Torques: Policy Learning with Deep Dynamical Models
Niklas Wahlström, Thomas B. Schön, Marc Peter Deisenroth
stat.MLcs.LGcs.ROarXiv:1502.02251v32015
Joint Power and 3D Trajectory Optimization for UAV-enabled Wireless Powered Communication Networks with Obstacles
Hongyang Pan, Yanheng Liu, Geng Sun +3
eess.SYcs.SYarXiv:2310.00384v12023
Direct Vector Field Guidance for Path Following
Amit Shivam, Nikhil Kumar Singh, Luís Tiago Paiva +1
eess.SYcs.SYarXiv:2610.13576v12026
Towards an Asset Administration Shell Maturity Model
Carsten Ellwein, David Dietrich, Rozana Cvitkovic +1
cs.SEeess.SYarXiv:2609.17084v12026
Artificial Intelligence for Satellite Communication: A Review
Fares Fourati, Mohamed-Slim Alouini
eess.SPcs.AIeess.SYarXiv:2101.10899v12021
SPPID: Saddle-Point PID for Constrained Optimization
Veronica Centorrino, Rawan Hoteit, Efe C. Balta +1
math.OCcs.SYeess.SYarXiv:2609.31086v12026
Uncertainty-Aware Parameter Estimation for Condition Monitoring of Power Converters
Tomas Monopoli, Jiahong Liu, Shuai Zhao
eess.SYarXiv:2609.00218v12026
Adaptive Conformal Prediction for Motion Planning among Dynamic Agents
Anushri Dixit, Lars Lindemann, Skylar Wei +3
cs.ROcs.SYeess.SYarXiv:2212.00278v12022
Renewable energy integration and microgrid energy trading using multi-agent deep reinforcement learning
Daniel J. B. Harrold, Jun Cao, Zhong Fan
cs.MAcs.AIcs.LGarXiv:2111.10898v22021
Synchronization and Transient Stability in Power Networks and Non-Uniform Kuramoto Oscillators
Florian Dorfler, Francesco Bullo
math.OCeess.SYmath-pharXiv:0910.5673v42009
A Fast Integrated Planning and Control Framework for Autonomous Driving via Imitation Learning
Liting Sun, Cheng Peng, Wei Zhan +1
cs.AIcs.LGcs.SYarXiv:1707.02515v12017
Formation Matrix and Energy-based Control of Multi-Agent Systems
Martín Crespo, Sergio Junco, Matías Nacusse
eess.SYcs.ROcs.SYarXiv:2609.04158v12026
New Results on Parameter Estimation via Dynamic Regressor Extension and Mixing: Continuous and Discrete-time Cases
Romeo Ortega, Stanislav Aranovskiy, Anton A. Pyrkin +2
eess.SYcs.PFarXiv:1908.05125v12019
Explainable Artificial Intelligence for Industrial Cybersecurity: A Review of Methods, Operational Integration, and Research Challenges
Amr S. Mohamed, Charlotte Fritz, Ahmad Mohammad Saber +5
cs.CReess.SYarXiv:2609.00171v12026
Traffic Congestion Control for ARZ Model with an Arbitrarily Large Input Delay
Yidan Cao, Xiang Xu, Lu Liu
eess.SYcs.SYarXiv:2609.03345v12026
Quantum-Based k-Coverage Optimization for UAV-Aided Search and Rescue Missions
Halim Lee, Suhui Jeong, Na Young Kim +1
eess.SYarXiv:2609.01930v12026
Wireless Network Design for Control Systems: A Survey
Pangun Park, Sinem Coleri Ergen, Carlo Fischione +2
eess.SYcs.ITcs.NIarXiv:1708.07353v12017
Control Design along Trajectories with Sums of Squares Programming
Anirudha Majumdar, Amir Ali Ahmadi, Russ Tedrake
cs.ROeess.SYmath.OCarXiv:1210.0888v12012
Transfer from Simulation to Real World through Learning Deep Inverse Dynamics Model
Paul Christiano, Zain Shah, Igor Mordatch +5
cs.ROcs.AIcs.LGarXiv:1610.03518v12016
Tuning ROS 2 for Energy-Efficient Navigation: Empirical Insights from Costmap 2D Configurations
Michel Albonico, Andreas Wortmann, Ivano Malavolta
cs.ROcs.SYeess.SYarXiv:2609.12971v12026
Sparsity in control problems: Recent trends and open challenges
Luca Ballotta, Geethu Josephb, Waseem Abbas +6
math.OCcs.SYeess.SParXiv:2610.09787v12026
Stabilizing Traffic Flow Via Autonomous Vehicles: A Less Conservative Approach
MirSaleh Bahavarnia, Ahmad F. Taha
eess.SYcs.SYarXiv:2609.08218v22026
Aerial Non-Stop Trajectories Preserving the Equilibrium of Loads Suspended by Variable-Length Cables
Antonio Franchi, Alberto Landi, Chiara Gabellieri
eess.SYcs.SYarXiv:2609.12922v12026
On the Learning Behavior of Adaptive Networks - Part I: Transient Analysis
Jianshu Chen, Ali H. Sayed
cs.MAcs.SYeess.SYarXiv:1312.7581v42013
Risk and Anomaly Identification for Distribution Network Optimal Operation Based on Reinforcement Learning and Uncertainty Quantification
Ziqi Zhang
cs.LGcs.MAcs.SYarXiv:2609.03308v12026
Data-driven Economic NMPC using Reinforcement Learning
Sébastien Gros, Mario Zanon
eess.SYarXiv:1904.04152v12019

Systems and Control

A Marginal Cost Consensus Scheme with Reset Mechanism for Distributed Economic Dispatch in BESSs

Cooperative Internet of UAVs: Distributed Trajectory Design by Multi-agent Deep Reinforcement Learning

Gossip consensus algorithms via quantized communication

Token Economy Design for Fair and Efficient Highway Congestion Management with Express Lanes

A unified power-grid representation for reuse across network structures and computational tasks

Decentralized Safe Multi-Agent Reinforcement Learning via Predictive Shielding

SiLR: Structure-Preserving Admission and Process Reward for LLM Tool Agents

Forward-Backward Stochastic Neural Networks: Deep Learning of High-dimensional Partial Differential Equations

Safe Planning in Dynamic Environments using Conformal Prediction

TD-STGT: A Spatio-Temporal Graph Transformer for Mobile Traffic Demand Forecasting

A Survey of Beam Management for mmWave and THz Communications Towards 6G

Controller Synthesis for Safety and Reachability via Approximate Bisimulation

Headroom-Aware Stochastic Adaptive Model Predictive Control for Load Frequency Control in Microgrids

Deep Reinforcement Learning for Smart Home Energy Management

Minimal Controllability Problems

A scalable computational framework for establishing long-term behavior of stochastic reaction networks

Datacenter Traffic Control: Understanding Techniques and Trade-offs

Interpretable Imitation Learning via Generative Adversarial STL Inference and Control

Fully Online Decentralized Learning in Stochastic Games with Unknown Independent Chains

Dynamic Watermarking: Active Defense of Networked Cyber-Physical Systems

Concurrent learning-based approximate optimal regulation

The Responsibility Vacuum: Organizational Failure in Scaled Agent Systems

Co-Evolving Robot Orchestrators and Policies through Deployment

LLM-Enabled UAV Dispatch: A System-Level Survey and Taxonomy

Liquidation in Limit Order Books with Controlled Intensity

PROMO: Preference-conditioned Multi-Objective Reinforcement Learning for Quadrupedal Robots

Exploiting symmetries in SDP-relaxations for polynomial optimization

Opinion fluctuations and disagreement in social networks

Policy Optimization for $\mathcal{H}_2$ Linear Control with $\mathcal{H}_\infty$ Robustness Guarantee: Implicit Regularization and Global Convergence

A Latent Space Optimization Approach for Symbolic Discovery of Dynamical Models

Convergence and sample complexity of gradient methods for the model-free linear quadratic regulator problem

Optimal Portfolio Liquidation with Limit Orders

Blockchain-Based Decentralized Energy Management Platform for Residential Distributed Energy Resources in A Virtual Power Plant

Multi-Agent Reinforcement Learning for Joint Handover Management and Power Allocation in Multi-Orbit Satellite Networks

From Pixels to Torques: Policy Learning with Deep Dynamical Models

Joint Power and 3D Trajectory Optimization for UAV-enabled Wireless Powered Communication Networks with Obstacles

Direct Vector Field Guidance for Path Following

Towards an Asset Administration Shell Maturity Model

Artificial Intelligence for Satellite Communication: A Review

SPPID: Saddle-Point PID for Constrained Optimization

Uncertainty-Aware Parameter Estimation for Condition Monitoring of Power Converters

Adaptive Conformal Prediction for Motion Planning among Dynamic Agents

Renewable energy integration and microgrid energy trading using multi-agent deep reinforcement learning

Synchronization and Transient Stability in Power Networks and Non-Uniform Kuramoto Oscillators

A Fast Integrated Planning and Control Framework for Autonomous Driving via Imitation Learning

Formation Matrix and Energy-based Control of Multi-Agent Systems

New Results on Parameter Estimation via Dynamic Regressor Extension and Mixing: Continuous and Discrete-time Cases

Explainable Artificial Intelligence for Industrial Cybersecurity: A Review of Methods, Operational Integration, and Research Challenges

Traffic Congestion Control for ARZ Model with an Arbitrarily Large Input Delay

Quantum-Based k-Coverage Optimization for UAV-Aided Search and Rescue Missions

Wireless Network Design for Control Systems: A Survey

Control Design along Trajectories with Sums of Squares Programming

Transfer from Simulation to Real World through Learning Deep Inverse Dynamics Model

Tuning ROS 2 for Energy-Efficient Navigation: Empirical Insights from Costmap 2D Configurations

Sparsity in control problems: Recent trends and open challenges

Stabilizing Traffic Flow Via Autonomous Vehicles: A Less Conservative Approach

Aerial Non-Stop Trajectories Preserving the Equilibrium of Loads Suspended by Variable-Length Cables

On the Learning Behavior of Adaptive Networks - Part I: Transient Analysis

Risk and Anomaly Identification for Distribution Network Optimal Operation Based on Reinforcement Learning and Uncertainty Quantification

Data-driven Economic NMPC using Reinforcement Learning