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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1,321 to 1,380 of 2,225

Carbon Explorer: A Holistic Approach for Designing Carbon Aware Datacenters
Bilge Acun, Benjamin Lee, Fiodar Kazhamiaka +5
cs.DCeess.SYarXiv:2201.10036v32022
Synthesis of Sensor Deception Attacks at the Supervisory Layer of Cyber-Physical Systems
Romulo Meira-Goes, Eunsuk Kang, Raymond H. Kwong +1
eess.SYcs.SYarXiv:2008.01497v12020
Taxi Dispatch with Real-Time Sensing Data in Metropolitan Areas: A Receding Horizon Control Approach
Fei Miao, Shuo Han, Shan Lin +6
eess.SYarXiv:1603.04418v12016
Locational Marginal Pricing for Adaptive Robust Look-Ahead Dispatch with Casual Affine Recourse
Aidan Looney, Qian Zhang, Le Xie
eess.SYarXiv:2609.05156v12026
Learning Optimal Solutions for Extremely Fast AC Optimal Power Flow
Ahmed Zamzam, Kyri Baker
cs.LGeess.SPeess.SYarXiv:1910.01213v12019
Uniform Error Bounds for Gaussian Process Regression with Application to Safe Control
Armin Lederer, Jonas Umlauft, Sandra Hirche
cs.LGeess.SYstat.MLarXiv:1906.01376v22019
GridSFM: A Foundation Model for Solving AC Optimal Power Flow
Luke Bhan, Weiwei Yang, Margaret Capetz +1
eess.SYcs.LGcs.SYarXiv:2609.30173v12026
Prescribed Performance Distance-Based Formation Control of Multi-Agent Systems (Extended Version)
Farhad Mehdifar, Charalampos P. Bechlioulis, Farzad Hashemzadeh +1
eess.SYcs.MAcs.ROarXiv:1911.07266v22019
On the Existence of Koopman Linear Embeddings for Controlled Nonlinear Systems
Xu Shang, Masih Haseli, Jorge Cortés +1
math.OCeess.SYarXiv:2602.14537v12026
Energy Conservation and Power Bonds in Co-Simulations: Non-Iterative Adaptive Step Size Control and Error Estimation
Severin Sadjina, Lars T. Kyllingstad, Eilif Pedersen +1
eess.SYcs.CEcs.DCarXiv:1602.06434v22016
Time-Varying Convex Optimization: Time-Structured Algorithms and Applications
Andrea Simonetto, Emiliano Dall'Anese, Santiago Paternain +2
math.OCeess.SYarXiv:2006.08500v12020
Neural-Fly Enables Rapid Learning for Agile Flight in Strong Winds
Michael O'Connell, Guanya Shi, Xichen Shi +4
cs.ROcs.AIcs.LGarXiv:2205.06908v22022
Aggregated Feasible Region of Heterogeneous Demand-Side Flexible Resources -- Part I: Theoretical Derivation of the Exact Model
Yilin Wen, Zechun Hu, Shi You +1
eess.SYarXiv:2111.04963v12021
Information-theoretic lower bounds on the oracle complexity of stochastic convex optimization
Alekh Agarwal, Peter L. Bartlett, Pradeep Ravikumar +1
stat.MLeess.SYmath.OCarXiv:1009.0571v32010
Online Control with Adversarial Disturbances
Naman Agarwal, Brian Bullins, Elad Hazan +2
cs.LGeess.SYmath.OCarXiv:1902.08721v12019
Stochastic data-driven model predictive control using Gaussian processes
E. Bradford, L. Imsland, D. Zhang +1
math.OCcs.LGcs.SYarXiv:1908.01786v22019
Large-Scale Partition-Based RIS Beamforming For Uplink RIS-Equipped Multi-User Systems: Asymptotic Analysis
Samira Rahimian, Haris Gacanin
eess.SPcs.SYeess.SYarXiv:2610.11904v12026
Point-to-Point Communication in Integrated Satellite-Aerial Networks: State-of-the-art and Future Challenges
Nasir Saeed, Heba Almorad, Hayssam Dahrouj +3
eess.SPcs.NIcs.SYarXiv:2012.06182v12020
Gaussian Processes for Data-Efficient Learning in Robotics and Control
Marc Peter Deisenroth, Dieter Fox, Carl Edward Rasmussen
stat.MLcs.LGcs.ROarXiv:1502.02860v22015
Deep Variational Bayes Filters: Unsupervised Learning of State Space Models from Raw Data
Maximilian Karl, Maximilian Soelch, Justin Bayer +1
stat.MLcs.LGeess.SYarXiv:1605.06432v32016
Continuous Deep Q-Learning with Model-based Acceleration
Shixiang Gu, Timothy Lillicrap, Ilya Sutskever +1
cs.LGcs.AIcs.ROarXiv:1603.00748v12016
Scaling Verification Can Be More Effective than Scaling Policy Learning for Vision-Language-Action Alignment
Jacky Kwok, Xilun Zhang, Mengdi Xu +4
cs.ROcs.AIeess.SYarXiv:2602.12281v22026
Quantifying the Unintentional Islanding Risk: A Comparative Study on Active Distribution Network
Harshit Nayak, Edoardo Daccò, Jose Luis Rueda Torres +1
eess.SYcs.SYarXiv:2609.11400v12026
High-order Barrier Functions: Robustness, Safety and Performance-Critical Control
Xiao Tan, Wenceslao Shaw Cortez, Dimos V. Dimarogonas
eess.SYarXiv:2104.00101v22021
Prioritizing Consumers in Smart Grid: A Game Theoretic Approach
Wayes Tushar, Jian A. Zhang, David Smith +2
eess.SYcs.GTcs.SYarXiv:1312.0659v12013
UAV attitude estimation using Unscented Kalman Filter and TRIAD
Hector Garcia de Marina, Fernando J. Pereda, Jose Marina Giron-Sierra +1
cs.ROeess.SYarXiv:1609.07436v12016
Safety Beyond the Training Data: Robust Out-of-Distribution MPC via Conformalized System Level Synthesis
Anutam Srinivasan, Antoine Leeman, Glen Chou
cs.ROcs.LGeess.SYarXiv:2602.12047v12026
LBA-CBF: Rapidly Adaptive Safety Filters via Parallel Dynamics Inference
Maitham F. AL-Sunni, Timeea-Andreea Radu, Hassan Almubarak +4
cs.ROcs.SYeess.SYarXiv:2610.08765v12026
End-to-End Safe Reinforcement Learning through Barrier Functions for Safety-Critical Continuous Control Tasks
Richard Cheng, Gabor Orosz, Richard M. Murray +1
cs.LGeess.SYstat.MLarXiv:1903.08792v12019
Elastica: A compliant mechanics environment for soft robotic control
Noel Naughton, Jiarui Sun, Arman Tekinalp +2
cs.ROcs.SYeess.SYarXiv:2009.08422v12020
Integration of an Energy Management Tool and Digital Twin for Coordination and Control of Multi-vector Smart Energy Systems
Edward O'Dwyer, Indranil Pan, Richard Charlesworth +2
eess.SYarXiv:2007.12129v12020
Deep Reinforcement Learning for Wireless Sensor Scheduling in Cyber-Physical Systems
Alex S. Leong, Arunselvan Ramaswamy, Daniel E. Quevedo +2
eess.SYarXiv:1809.05149v22018
Distributed Average Tracking for Multiple Signals Generated by Linear Dynamical Systems: An Edge-based Framework
Yu Zhao, Yongfang Liu, Zhongkui Li +1
eess.SYcs.SYarXiv:1606.09329v12016
Model-Based Deep Learning: On the Intersection of Deep Learning and Optimization
Nir Shlezinger, Yonina C. Eldar, Stephen P. Boyd
eess.SPcs.LGeess.SYarXiv:2205.02640v22022
A Multi-Stage Linear Programming Framework for Three-Phase State Estimation in Low-Voltage Distribution Grids
Mohsen Banaei, Eghbal Hosseini, Ahlam Jameel +3
eess.SYcs.SYarXiv:2609.29315v12026
Learning Model Predictive Control for iterative tasks. A Data-Driven Control Framework
Ugo Rosolia, Francesco Borrelli
eess.SYcs.LGmath.OCarXiv:1609.01387v72016
Data-Driven Resilient Predictive Control under Denial-of-Service
Wenjie Liu, Jian Sun, Gang Wang +2
eess.SYarXiv:2110.12766v12021
The Augmented Lagrange Multiplier Method for Exact Recovery of Corrupted Low-Rank Matrices
Zhouchen Lin, Minming Chen, Yi Ma
math.OCeess.SYmath.NAarXiv:1009.5055v32010
Formulas for Data-driven Control: Stabilization, Optimality and Robustness
Claudio De Persis, Pietro Tesi
eess.SYmath.OCarXiv:1903.06842v32019
Distributed Reinforcement Learning for Decentralized Linear Quadratic Control: A Derivative-Free Policy Optimization Approach
Yingying Li, Yujie Tang, Runyu Zhang +1
eess.SYcs.LGcs.SYarXiv:1912.09135v32019
Safe Learning in Robotics: From Learning-Based Control to Safe Reinforcement Learning
Lukas Brunke, Melissa Greeff, Adam W. Hall +4
cs.ROcs.LGeess.SYarXiv:2108.06266v22021
Combining Prior Knowledge and Data for Robust Controller Design
Julian Berberich, Carsten W. Scherer, Frank Allgöwer
eess.SYmath.OCarXiv:2009.05253v42020
A Dynamical Systems Perspective on Nesterov Acceleration
Michael Muehlebach, Michael I. Jordan
math.OCcs.LGcs.SYarXiv:1905.07436v12019
Optimal Power Sharing for Hybrid Energy Storage Systems Based on Karush-Kuhn-Tucker Conditions
Juan Diego Rios-Peñaloza, Milan Prodanovic, Javier Roldán-Pérez
eess.SYcs.SYarXiv:2609.31100v12026
Nonlinear System Identification: A User-Oriented Roadmap
Johan Schoukens, Lennart Ljung
eess.SYarXiv:1902.00683v12019
Fractional Order AGC for Distributed Energy Resources Using Robust Optimization
Indranil Pan, Saptarshi Das
eess.SYcs.AIcs.NEarXiv:1611.09755v12016
Online Distributed Optimization on Dynamic Networks
Saghar Hosseini, Airlie Chapman, Mehran Mesbahi
math.OCcs.DScs.LGarXiv:1412.7215v12014
Learning Robust Autonomous Navigation and Locomotion for Wheeled-Legged Robots
Joonho Lee, Marko Bjelonic, Alexander Reske +3
cs.ROcs.LGeess.SYarXiv:2405.01792v12024
Deep Learning of Koopman Representation for Control
Yiqiang Han, Wenjian Hao, Umesh Vaidya
cs.LGcs.SYeess.SYarXiv:2010.07546v12020
A Simulative Study on Active Disturbance Rejection Control (ADRC) as a Control Tool for Practitioners
Gernot Herbst
eess.SYarXiv:1908.04596v22019
National-scale electricity peak load forecasting: Traditional, machine learning, or hybrid model?
Juyong Lee, Youngsang Cho
eess.SPcs.LGcs.SYarXiv:2107.06174v12021
Guided Deep Reinforcement Learning for Swarm Systems
Maximilian Hüttenrauch, Adrian Šošić, Gerhard Neumann
cs.MAcs.AIcs.LGarXiv:1709.06011v12017
Data-driven Optimal Power Flow: A Physics-Informed Machine Learning Approach
Xingyu Lei, Zhifang Yang, Juan Yu +3
eess.SYcs.NEcs.SYarXiv:2006.00544v12020
Automatic LQR Tuning Based on Gaussian Process Global Optimization
Alonso Marco, Philipp Hennig, Jeannette Bohg +2
cs.ROcs.LGeess.SYarXiv:1605.01950v12016
Large Language Model (LLM) for Telecommunications: A Comprehensive Survey on Principles, Key Techniques, and Opportunities
Hao Zhou, Chengming Hu, Ye Yuan +11
eess.SYcs.LGarXiv:2405.10825v22024
Doubly Robust Off-policy Value Evaluation for Reinforcement Learning
Nan Jiang, Lihong Li
cs.LGcs.AIeess.SYarXiv:1511.03722v32015
Secure Vehicular Communications through Reconfigurable Intelligent Surfaces
Yun Ai, Felipe A. P. de Figueiredo, Long Kong +3
eess.SPcs.SYeess.SYarXiv:2011.14899v22020
Downlink Coverage and Rate Analysis of Low Earth Orbit Satellite Constellations Using Stochastic Geometry
Niloofar Okati, Taneli Riihonen, Dani Korpi +2
eess.SYcs.NIeess.SParXiv:2004.13378v32020
The MRS UAV System: Pushing the Frontiers of Reproducible Research, Real-world Deployment, and Education with Autonomous Unmanned Aerial Vehicles
Tomas Baca, Matej Petrlik, Matous Vrba +4
cs.ROeess.SYarXiv:2008.08050v62020
Control Barrier Function Based Quadratic Programs for Safety Critical Systems
Aaron D. Ames, Xiangru Xu, Jessy W. Grizzle +1
math.OCeess.SYarXiv:1609.06408v22016

Systems and Control

Carbon Explorer: A Holistic Approach for Designing Carbon Aware Datacenters

Synthesis of Sensor Deception Attacks at the Supervisory Layer of Cyber-Physical Systems

Taxi Dispatch with Real-Time Sensing Data in Metropolitan Areas: A Receding Horizon Control Approach

Locational Marginal Pricing for Adaptive Robust Look-Ahead Dispatch with Casual Affine Recourse

Learning Optimal Solutions for Extremely Fast AC Optimal Power Flow

Uniform Error Bounds for Gaussian Process Regression with Application to Safe Control

GridSFM: A Foundation Model for Solving AC Optimal Power Flow

Prescribed Performance Distance-Based Formation Control of Multi-Agent Systems (Extended Version)

On the Existence of Koopman Linear Embeddings for Controlled Nonlinear Systems

Energy Conservation and Power Bonds in Co-Simulations: Non-Iterative Adaptive Step Size Control and Error Estimation

Time-Varying Convex Optimization: Time-Structured Algorithms and Applications

Neural-Fly Enables Rapid Learning for Agile Flight in Strong Winds

Aggregated Feasible Region of Heterogeneous Demand-Side Flexible Resources -- Part I: Theoretical Derivation of the Exact Model

Information-theoretic lower bounds on the oracle complexity of stochastic convex optimization

Online Control with Adversarial Disturbances

Stochastic data-driven model predictive control using Gaussian processes

Large-Scale Partition-Based RIS Beamforming For Uplink RIS-Equipped Multi-User Systems: Asymptotic Analysis

Point-to-Point Communication in Integrated Satellite-Aerial Networks: State-of-the-art and Future Challenges

Gaussian Processes for Data-Efficient Learning in Robotics and Control

Deep Variational Bayes Filters: Unsupervised Learning of State Space Models from Raw Data

Continuous Deep Q-Learning with Model-based Acceleration

Scaling Verification Can Be More Effective than Scaling Policy Learning for Vision-Language-Action Alignment

Quantifying the Unintentional Islanding Risk: A Comparative Study on Active Distribution Network

High-order Barrier Functions: Robustness, Safety and Performance-Critical Control

Prioritizing Consumers in Smart Grid: A Game Theoretic Approach

UAV attitude estimation using Unscented Kalman Filter and TRIAD

Safety Beyond the Training Data: Robust Out-of-Distribution MPC via Conformalized System Level Synthesis

LBA-CBF: Rapidly Adaptive Safety Filters via Parallel Dynamics Inference

End-to-End Safe Reinforcement Learning through Barrier Functions for Safety-Critical Continuous Control Tasks

Elastica: A compliant mechanics environment for soft robotic control

Integration of an Energy Management Tool and Digital Twin for Coordination and Control of Multi-vector Smart Energy Systems

Deep Reinforcement Learning for Wireless Sensor Scheduling in Cyber-Physical Systems

Distributed Average Tracking for Multiple Signals Generated by Linear Dynamical Systems: An Edge-based Framework

Model-Based Deep Learning: On the Intersection of Deep Learning and Optimization

A Multi-Stage Linear Programming Framework for Three-Phase State Estimation in Low-Voltage Distribution Grids

Learning Model Predictive Control for iterative tasks. A Data-Driven Control Framework

Data-Driven Resilient Predictive Control under Denial-of-Service

The Augmented Lagrange Multiplier Method for Exact Recovery of Corrupted Low-Rank Matrices

Formulas for Data-driven Control: Stabilization, Optimality and Robustness

Distributed Reinforcement Learning for Decentralized Linear Quadratic Control: A Derivative-Free Policy Optimization Approach

Safe Learning in Robotics: From Learning-Based Control to Safe Reinforcement Learning

Combining Prior Knowledge and Data for Robust Controller Design

A Dynamical Systems Perspective on Nesterov Acceleration

Optimal Power Sharing for Hybrid Energy Storage Systems Based on Karush-Kuhn-Tucker Conditions

Nonlinear System Identification: A User-Oriented Roadmap

Fractional Order AGC for Distributed Energy Resources Using Robust Optimization

Online Distributed Optimization on Dynamic Networks

Learning Robust Autonomous Navigation and Locomotion for Wheeled-Legged Robots

Deep Learning of Koopman Representation for Control

A Simulative Study on Active Disturbance Rejection Control (ADRC) as a Control Tool for Practitioners

National-scale electricity peak load forecasting: Traditional, machine learning, or hybrid model?

Guided Deep Reinforcement Learning for Swarm Systems

Data-driven Optimal Power Flow: A Physics-Informed Machine Learning Approach

Automatic LQR Tuning Based on Gaussian Process Global Optimization

Large Language Model (LLM) for Telecommunications: A Comprehensive Survey on Principles, Key Techniques, and Opportunities

Doubly Robust Off-policy Value Evaluation for Reinforcement Learning

Secure Vehicular Communications through Reconfigurable Intelligent Surfaces

Downlink Coverage and Rate Analysis of Low Earth Orbit Satellite Constellations Using Stochastic Geometry

The MRS UAV System: Pushing the Frontiers of Reproducible Research, Real-world Deployment, and Education with Autonomous Unmanned Aerial Vehicles

Control Barrier Function Based Quadratic Programs for Safety Critical Systems