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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121 to 180 of 1,084

Optimal Portfolio Liquidation with Limit Orders
Olivier Guéant, Charles-Albert Lehalle, Joaquin Fernandez Tapia
q-fin.TReess.SYmath.OCarXiv:1106.3279v62011
Load-Flow in Multiphase Distribution Networks: Existence, Uniqueness, Non-Singularity and Linear Models
Andrey Bernstein, Cong Wang, Emiliano Dall'Anese +2
math.OCeess.SYarXiv:1702.03310v22017
Agnostic System Identification for Model-Based Reinforcement Learning
Stephane Ross, J. Andrew Bagnell
cs.LGcs.AIeess.SYarXiv:1203.1007v22012
Performance Bounds for the Scenario Approach and an Extension to a Class of Non-convex Programs
Peyman Mohajerin Esfahani, Tobias Sutter, John Lygeros
math.OCeess.SYarXiv:1307.0345v22013
Frequency Domain Design of Fractional Order PID Controller for AVR System Using Chaotic Multi-objective Optimization
Indranil Pan, Saptarshi Das
math.OCeess.SYarXiv:1306.3682v12013
Interpretable Policies for Reinforcement Learning by Genetic Programming
Daniel Hein, Steffen Udluft, Thomas A. Runkler
cs.AIcs.NEeess.SYarXiv:1712.04170v22017
Can AI Agents Deliver Verifiable Network-Wide Outcomes Across Authority Boundaries?
Tianzhu Zhang, Chih-Kai Huang, Meikang Qiu
cs.NIcs.AIeess.SYarXiv:2609.10181v12026
On Stochastic Gradient and Subgradient Methods with Adaptive Steplength Sequences
Farzad Yousefian, Angelia Nedić, Uday V. Shanbhag
math.OCeess.SYarXiv:1105.4549v12011
Context operations to architecture modelling output from large language models and evaluation criteria for their use in systems engineering design
Vinicius Kaster Marini, Petter Krus
eess.SYcs.AIcs.SEarXiv:2609.10132v12026
Agile But Safe: Learning Collision-Free High-Speed Legged Locomotion
Tairan He, Chong Zhang, Wenli Xiao +3
cs.ROcs.AIcs.CVarXiv:2401.17583v32024
An Efficient Optimal Planning and Control Framework For Quadrupedal Locomotion
Farbod Farshidian, Michael Neunert, Alexander W. Winkler +2
eess.SYcs.ROarXiv:1609.09861v22016
High-speed Autonomous Drifting with Deep Reinforcement Learning
Peide Cai, Xiaodong Mei, Lei Tai +2
cs.ROcs.LGeess.SYarXiv:2001.01377v12020
Elastoformer: Enabling Dynamic Adaptivity via Elastic Model Transformation
Sudaksh Kalra, Dolly Sapra
cs.CVcs.AIcs.PFarXiv:2609.10018v12026
A Modified SIR Model for the COVID-19 Contagion in Italy
Giuseppe C. Calafiore, Carlo Novara, Corrado Possieri
physics.soc-phcs.CEcs.SIarXiv:2003.14391v12020
Optimal transport over a linear dynamical system
Yongxin Chen, Tryphon Georgiou, Michele Pavon
math.OCeess.SYarXiv:1502.01265v12015
Can AI Agents Detect and Repair Artifact Drift in Network Experiments?
Tianzhu Zhang, Weichen Tao, Changgang Zheng +4
cs.NIcs.AIeess.SYarXiv:2609.09849v12026
Deep Reinforcement Learning Attitude Control of Fixed-Wing UAVs Using Proximal Policy Optimization
Eivind Bøhn, Erlend M. Coates, Signe Moe +1
cs.ROeess.SYarXiv:1911.05478v12019
SDN-based Resource Allocation in Edge and Cloud Computing Systems: An Evolutionary Stackelberg Differential Game Approach
Jun Du, Chunxiao Jiang, Abderrahim Benslimane +2
eess.SYarXiv:2109.12543v12021
Algorithms for leader selection in stochastically forced consensus networks
Fu Lin, Makan Fardad, Mihailo R. Jovanović
math.OCcs.ROeess.SYarXiv:1302.0450v22013
Adaptive Distributed Physical-Layer Authentication and Attack Detection in 6G Non-Terrestrial Networks via Causal Meta-Learning
Parsa Rajabi, Mohammad Reza Abedi, Nader Mokari +2
eess.SPcs.AIcs.CRarXiv:2609.09511v12026
Distributed Physical Layer Authentication and Collaborative RSMA in Non-Terrestrial Networks via Graph Reinforcement Learning
Parsa Rajabi, Mohammad Mirzaee, Mohammad Reza Abedi +2
eess.SPcs.AIeess.SYarXiv:2609.09475v12026
The Near-Optimal Feasible Space of a Renewable Power System Model
Fabian Neumann, Tom Brown
physics.soc-pheess.SYarXiv:1910.01891v22019
No Free Checker: A Survey of Verifiers for Robot Policies
Yang Wan, Xihang Yue, Zhirui Liu +7
cs.ROcs.AIcs.CVarXiv:2609.09250v12026
DeepScaleTool : A Tool for the Accurate Estimation of Technology Scaling in the Deep-Submicron Era
Satyabrata Sarangi, Bevan Baas
eess.SYcs.ARcs.PFarXiv:2102.10195v12021
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
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
Synthesis of Control Barrier Functions Using a Supervised Machine Learning Approach
Mohit Srinivasan, Amogh Dabholkar, Samuel Coogan +1
cs.ROeess.SYarXiv:2003.04950v12020
Magnetometer calibration using inertial sensors
Manon Kok, Thomas B. Schön
eess.SYcs.ROstat.AParXiv:1601.05257v32016
On generalized terminal state constraints for model predictive control
Lorenzo Fagiano, Andrew R. Teel
eess.SYmath.OCarXiv:1207.0788v22012
Nash Equilibrium Computation in Subnetwork Zero-Sum Games with Switching Communications
Youcheng Lou, Yiguang Hong, Lihua Xie +2
eess.SYcs.GTmath.OCarXiv:1312.7050v22013
Robustness of Information Diffusion Algorithms to Locally Bounded Adversaries
Haotian Zhang, Shreyas Sundaram
cs.SIcs.DCcs.MAarXiv:1110.3843v22011
Optimal Output Consensus of High-Order Multi-Agent Systems with Embedded Technique
Yutao Tang, Zhenhua Deng, Yiguang Hong
math.OCeess.SYarXiv:1704.04652v22017
Managing Price Uncertainty in Prosumer-Centric Energy Trading: A Prospect-Theoretic Stackelberg Game Approach
Georges El Rahi, S. Rasoul Etesami, Walid Saad +2
cs.GTcs.MAeess.SYarXiv:1709.06071v12017
Consensus Multi-Agent Reinforcement Learning for Volt-VAR Control in Power Distribution Networks
Yuanqi Gao, Wei Wang, Nanpeng Yu
eess.SYcs.LGarXiv:2007.02991v12020
Competitive Charging Station Pricing for Plug-in Electric Vehicles
Wei Yuan, Jianwei Huang, Ying Jun Zhang
cs.GTeess.SYmath.OCarXiv:1511.07907v22015
Data-Driven Recursive Least Squares Estimation for Model Predictive Current Control of Permanent Magnet Synchronous Motors
Anian Brosch, Sören Hanke, Oliver Wallscheid +1
eess.SYarXiv:1911.12065v12019
Detection and Mitigation of Classes of Attacks in Supervisory Control Systems
Lilian Kawakami Carvalho, Yi-Chin Wu, Raymond Kwong +1
cs.FLeess.SYarXiv:1807.04889v12018
Observer-Based High Order Sliding Mode Control of Unity Power Factor in Three-Phase AC/DC Converter for Hybrid Electric Vehicle Applications
Jianxing Liu, Salah Laghrouche, Maxime Wack
math.OCeess.SYarXiv:1303.5842v22013
Cooperative Adaptive Cruise Control for Connected Autonomous Vehicles by Factoring Communication-Related Constraints
Chaojie Wang, Siyuan Gong, Anye Zhou +2
eess.SYmath.OCarXiv:1807.07232v22018
Leveraging Two-Stage Adaptive Robust Optimization for Power Flexibility Aggregation
Xin Chen, Na Li
eess.SYarXiv:2005.03768v22020
A Multi-State Power Model for Adequacy Assessment of Distributed Generation via Universal Generating Function
Yan-Fu Li, Enrico Zio
cs.OHcs.PFeess.SYarXiv:1206.6808v12012
Data-Driven Control of Complex Networks
Giacomo Baggio, Danielle S. Bassett, Fabio Pasqualetti
eess.SYmath.OCphysics.soc-pharXiv:2003.12189v32020
Physics-constrained Deep Learning of Multi-zone Building Thermal Dynamics
Jan Drgona, Aaron R. Tuor, Vikas Chandan +1
cs.LGcs.NEeess.SYarXiv:2011.05987v12020
Randomized Methods for Design of Uncertain Systems: Sample Complexity and Sequential Algorithms
T. Alamo, R. Tempo, A. Luque +1
eess.SYmath.OCarXiv:1304.0678v22013
Public Plug-in Electric Vehicles + Grid Data: Is a New Cyberattack Vector Viable?
Samrat Acharya, Yury Dvorkin, Ramesh Karri
eess.SYarXiv:1907.08283v22019
Decision-Making in Driver-Automation Shared Control: A Review and Perspectives
Wenshuo Wang, Xiaoxiang Na, Dongpu Cao +4
eess.SYarXiv:2007.12597v12020
Online Multi-agent Reinforcement Learning for Decentralized Inverter-based Volt-VAR Control
Haotian Liu, Wenchuan Wu
eess.SYcs.LGcs.MAarXiv:2006.12841v22020
Decentralized Convergence to Nash Equilibria in Constrained Deterministic Mean Field Control
Sergio Grammatico, Francesca Parise, Marcello Colombino +1
eess.SYcs.GTmath.OCarXiv:1410.4421v22014
Deep Reinforcement Learning for Wireless Sensor Scheduling in Cyber-Physical Systems
Alex S. Leong, Arunselvan Ramaswamy, Daniel E. Quevedo +2
eess.SYarXiv:1809.05149v22018
High-Fidelity Model Order Reduction for Microgrids Stability Assessment
Petr Vorobev, Po-Hsu Huang, Mohamed Al Hosani +2
eess.SYarXiv:1611.01761v12016
Predictive Sampling: Real-time Behaviour Synthesis with MuJoCo
Taylor Howell, Nimrod Gileadi, Saran Tunyasuvunakool +3
cs.ROeess.SYarXiv:2212.00541v22022
Assessing Covariate-Informed Grid Load Forecasting with a Time-Series Foundation Model
Varsha Pendyala, Yiwei Fu, Weizhong Yan +1
cs.LGcs.AIeess.SYarXiv:2609.06656v12026
TD-STGT: A Spatio-Temporal Graph Transformer for Mobile Traffic Demand Forecasting
Mohamad Alkadamani, Halim Yanikomeroglu
eess.SYcs.AIcs.LGarXiv:2609.06636v12026
Federated Learning for Internet of Things: A Federated Learning Framework for On-device Anomaly Data Detection
Tuo Zhang, Chaoyang He, Tianhao Ma +3
cs.LGeess.SYarXiv:2106.07976v42021
Finite Time Identification in Unstable Linear Systems
Mohamad Kazem Shirani Faradonbeh, Ambuj Tewari, George Michailidis
eess.SYecon.EMeess.SParXiv:1710.01852v22017
Stochastic optimal scheduling of demand response-enabled microgrids with renewable generations: An analytical-heuristic approach
Yang Li, Kang Li, Zhen Yang +3
eess.SYmath.OCarXiv:2111.12322v12021
Time-Varying Data as Sheaves: an Invitation to Narratives
Wilmer Leal, Benjamin Merlin Bumpus, Jana K. Nickel +3
cs.AIcs.MAeess.SYarXiv:2609.09056v12026
Learning Quadrotor Dynamics Using Neural Network for Flight Control
Somil Bansal, Anayo K. Akametalu, Frank J. Jiang +2
eess.SYcs.ROmath.OCarXiv:1610.05863v12016
A unifying energy-based approach to stability of power grids with market dynamics
Tjerk Stegink, Claudio De Persis, Arjan van der Schaft
math.OCeess.SYarXiv:1604.05200v22016
Safe and Fast Tracking on a Robot Manipulator: Robust MPC and Neural Network Control
Julian Nubert, Johannes Köhler, Vincent Berenz +2
cs.ROcs.LGeess.SYarXiv:1912.10360v22019

Systems and Control

Optimal Portfolio Liquidation with Limit Orders

Load-Flow in Multiphase Distribution Networks: Existence, Uniqueness, Non-Singularity and Linear Models

Agnostic System Identification for Model-Based Reinforcement Learning

Performance Bounds for the Scenario Approach and an Extension to a Class of Non-convex Programs

Frequency Domain Design of Fractional Order PID Controller for AVR System Using Chaotic Multi-objective Optimization

Interpretable Policies for Reinforcement Learning by Genetic Programming

Can AI Agents Deliver Verifiable Network-Wide Outcomes Across Authority Boundaries?

On Stochastic Gradient and Subgradient Methods with Adaptive Steplength Sequences

Context operations to architecture modelling output from large language models and evaluation criteria for their use in systems engineering design

Agile But Safe: Learning Collision-Free High-Speed Legged Locomotion

An Efficient Optimal Planning and Control Framework For Quadrupedal Locomotion

High-speed Autonomous Drifting with Deep Reinforcement Learning

Elastoformer: Enabling Dynamic Adaptivity via Elastic Model Transformation

A Modified SIR Model for the COVID-19 Contagion in Italy

Optimal transport over a linear dynamical system

Can AI Agents Detect and Repair Artifact Drift in Network Experiments?

Deep Reinforcement Learning Attitude Control of Fixed-Wing UAVs Using Proximal Policy Optimization

SDN-based Resource Allocation in Edge and Cloud Computing Systems: An Evolutionary Stackelberg Differential Game Approach

Algorithms for leader selection in stochastically forced consensus networks

Adaptive Distributed Physical-Layer Authentication and Attack Detection in 6G Non-Terrestrial Networks via Causal Meta-Learning

Distributed Physical Layer Authentication and Collaborative RSMA in Non-Terrestrial Networks via Graph Reinforcement Learning

The Near-Optimal Feasible Space of a Renewable Power System Model

No Free Checker: A Survey of Verifiers for Robot Policies

DeepScaleTool : A Tool for the Accurate Estimation of Technology Scaling in the Deep-Submicron Era

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

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

Synthesis of Control Barrier Functions Using a Supervised Machine Learning Approach

Magnetometer calibration using inertial sensors

On generalized terminal state constraints for model predictive control

Nash Equilibrium Computation in Subnetwork Zero-Sum Games with Switching Communications

Robustness of Information Diffusion Algorithms to Locally Bounded Adversaries

Optimal Output Consensus of High-Order Multi-Agent Systems with Embedded Technique

Managing Price Uncertainty in Prosumer-Centric Energy Trading: A Prospect-Theoretic Stackelberg Game Approach

Consensus Multi-Agent Reinforcement Learning for Volt-VAR Control in Power Distribution Networks

Competitive Charging Station Pricing for Plug-in Electric Vehicles

Data-Driven Recursive Least Squares Estimation for Model Predictive Current Control of Permanent Magnet Synchronous Motors

Detection and Mitigation of Classes of Attacks in Supervisory Control Systems

Observer-Based High Order Sliding Mode Control of Unity Power Factor in Three-Phase AC/DC Converter for Hybrid Electric Vehicle Applications

Cooperative Adaptive Cruise Control for Connected Autonomous Vehicles by Factoring Communication-Related Constraints

Leveraging Two-Stage Adaptive Robust Optimization for Power Flexibility Aggregation

A Multi-State Power Model for Adequacy Assessment of Distributed Generation via Universal Generating Function

Data-Driven Control of Complex Networks

Physics-constrained Deep Learning of Multi-zone Building Thermal Dynamics

Randomized Methods for Design of Uncertain Systems: Sample Complexity and Sequential Algorithms

Public Plug-in Electric Vehicles + Grid Data: Is a New Cyberattack Vector Viable?

Decision-Making in Driver-Automation Shared Control: A Review and Perspectives

Online Multi-agent Reinforcement Learning for Decentralized Inverter-based Volt-VAR Control

Decentralized Convergence to Nash Equilibria in Constrained Deterministic Mean Field Control

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

High-Fidelity Model Order Reduction for Microgrids Stability Assessment

Predictive Sampling: Real-time Behaviour Synthesis with MuJoCo

Assessing Covariate-Informed Grid Load Forecasting with a Time-Series Foundation Model

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

Federated Learning for Internet of Things: A Federated Learning Framework for On-device Anomaly Data Detection

Finite Time Identification in Unstable Linear Systems

Stochastic optimal scheduling of demand response-enabled microgrids with renewable generations: An analytical-heuristic approach

Time-Varying Data as Sheaves: an Invitation to Narratives

Learning Quadrotor Dynamics Using Neural Network for Flight Control

A unifying energy-based approach to stability of power grids with market dynamics

Safe and Fast Tracking on a Robot Manipulator: Robust MPC and Neural Network Control