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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1,261 to 1,320 of 2,225

Controlling complex networks: How much energy is needed?
Gang Yan, Jie Ren, Ying-Cheng Lai +2
physics.soc-phcs.SIeess.SYarXiv:1204.2401v22012
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
Safety-enhanced UAV Path Planning with Spherical Vector-based Particle Swarm Optimization
Manh Duong Phung, Quang Phuc Ha
cs.NEcs.AIcs.ROarXiv:2104.10033v12021
Efficient Computation of Sensitivity Coefficients of Node Voltages and Line Currents in Unbalanced Radial Electrical Distribution Networks
Konstantina Christakou, Jean-Yves Le Boudec, Mario Paolone +1
eess.SYarXiv:1203.6798v22012
Multi-UAV Path Planning for Wireless Data Harvesting with Deep Reinforcement Learning
Harald Bayerlein, Mirco Theile, Marco Caccamo +1
cs.MAcs.ITcs.LGarXiv:2010.12461v32020
Cooperative look-ahead control for fuel-efficient and safe heavy-duty vehicle platooning
Valerio Turri, Bart Besselink, Karl H. Johansson
eess.SYarXiv:1505.00447v12015
Comparative Analysis of Control Barrier Functions and Artificial Potential Fields for Obstacle Avoidance
Andrew Singletary, Karl Klingebiel, Joseph Bourne +3
cs.ROeess.SYarXiv:2010.09819v12020
Learning structured linear dynamical systems from missing observations
Aravinda Kanchana Ruwanpathirana, Hemant Tyagi, Sunny G. W. Wang
stat.MLcs.LGcs.SYarXiv:2610.11869v12026
Hybrid Reinforcement Learning-Based Eco-Driving Strategy for Connected and Automated Vehicles at Signalized Intersections
Zhengwei Bai, Peng Hao, Wei Shangguan +2
eess.SYcs.LGcs.SYarXiv:2201.07833v22022
A Barrier Function Approach to Finite-Time Stochastic System Verification and Control
Cesar Santoyo, Maxence Dutreix, Samuel Coogan
eess.SYarXiv:1909.05109v12019
The KL-UCB Algorithm for Bounded Stochastic Bandits and Beyond
Aurélien Garivier, Olivier Cappé
math.STcs.LGeess.SYarXiv:1102.2490v52011
Adaptive Agent Design
Raj Kiriti Velicheti, Subhonmesh Bose, Tamer Başar
eess.SYcs.AIcs.GTarXiv:2609.12486v12026
Approximate information state for approximate planning and reinforcement learning in partially observed systems
Jayakumar Subramanian, Amit Sinha, Raihan Seraj +1
cs.LGcs.SYeess.SYarXiv:2010.08843v22020
Why Three Phases? A Historical and Engineering Reassessment of Phase Order in AC Power Transmission
Kai Sun
eess.SYarXiv:2608.27325v12026
Control Principles of Complex Networks
Yang-Yu Liu, Albert-Laszló Barabási
eess.SYmath.OCphysics.soc-pharXiv:1508.05384v22015
Planning Optimal Paths for Multiple Robots on Graphs
Jingjin Yu, Steven M. LaValle
cs.ROcs.AIeess.SYarXiv:1204.3830v42012
Scalable Tube-Tightened Multi-Agent Safety via Certified Constraint Reduction
Armel Koulong
eess.SYarXiv:2608.25323v12026
Feedback Linearization based on Gaussian Processes with event-triggered Online Learning
Jonas Umlauft, Sandra Hirche
eess.SYarXiv:1911.06565v12019
Minimum Error Entropy Kalman Filter
Badong Chen, Lujuan Dang, Yuantao Gu +2
eess.SYcs.ITarXiv:1904.06617v22019
Kron Reduction of Graphs with Applications to Electrical Networks
Florian Dorfler, Francesco Bullo
math.COcs.DMeess.SYarXiv:1102.2950v12011
Combining Convex-Concave Decompositions and Linearization Approaches for solving BMIs, with application to Static Output Feedback
Quoc Tran Dinh, Suat Gumussoy, Wim Michiels +1
math.OCeess.SYarXiv:1109.3320v12011
5G network slicing using SDN and NFV- A survey of taxonomy, architectures and future challenges
Alcardo Alex Barakabitze, Arslan Ahmad, Rashid Mijumbi +1
cs.NIcs.DCcs.MMarXiv:1912.02802v12019
Mitigating LLM sycophancy with RL-based fine-tuning: Bayesian Truth Serum approach
Serhii Mytsyk, Yiming Zhang, Vikram Krishnamurthy
cs.LGeess.SYarXiv:2608.25267v12026
Optimal transport for Gaussian mixture models
Yongxin Chen, Tryphon T. Georgiou, Allen Tannenbaum
math.PReess.SYarXiv:1710.07876v22017
Dynamic droop specifications for Grid-Forming Inverter-Based Resources
Jennifer T. Bui, Dominic Groß, Deepak Ramasubramanian
eess.SYarXiv:2608.25250v12026
Spatiotemporal Response Decay for Near-Optimal Distributed LQR via System Level Synthesis
Chenchen Zhou, José Matias
math.OCcs.SYeess.SYarXiv:2610.11699v12026
Resilient Randomized Quantized Consensus
Seyed Mehran Dibaji, Hideaki Ishii, Roberto Tempo
eess.SYcs.SYarXiv:1710.06994v12017
A Review of Reinforcement Learning for Autonomous Building Energy Management
Karl Mason, Santiago Grijalva
cs.LGeess.SYstat.MLarXiv:1903.05196v22019
A Survey on LoRa Networking: Research Problems, Current Solutions and Open Issues
Jothi Prasanna Shanmuga Sundaram, Wan Du, Zhiwei Zhao
eess.SPeess.SYarXiv:1908.10195v12019
Resilient Consensus of Second-Order Agent Networks: Asynchronous Update Rules with Delays
Seyed Mehran Dibaji, Hideaki Ishii
eess.SYarXiv:1701.03430v22017
Optimal control as a graphical model inference problem
B. Kappen, V. Gomez, M. Opper
math.OCeess.SYarXiv:0901.0633v32009
Milestones in Autonomous Driving and Intelligent Vehicles Part I: Control, Computing System Design, Communication, HD Map, Testing, and Human Behaviors
Long Chen, Yuchen Li, Chao Huang +10
cs.AIcs.ROcs.SYarXiv:2305.11239v22023
A Robust Consensus Algorithm for Current Sharing and Voltage Regulation in DC Microgrids
Michele Cucuzzella, Sebastian Trip, Claudio De Persis +3
math.OCeess.SYarXiv:1708.04608v22017
BLE Beacons for Indoor Positioning at an Interactive IoT-Based Smart Museum
Petros Spachos, Konstantinos N. Plataniotis
cs.NIeess.SYarXiv:2001.07686v12020
Simultaneous Contact, Gait and Motion Planning for Robust Multi-Legged Locomotion via Mixed-Integer Convex Optimization
Bernardo Aceituno-Cabezas, Carlos Mastalli, Hongkai Dai +7
cs.ROcs.AIeess.SYarXiv:1904.04595v12019
Modified Gaussian Process Regression Models for Cyclic Capacity Prediction of Lithium-ion Batteries
Kailong Liu, Xiaosong Hu, Zhongbao Wei +2
cs.LGeess.SYarXiv:2101.00035v12020
Behavioral Exploration: Learning to Explore via In-Context Adaptation
Andrew Wagenmaker, Zhiyuan Zhou, Sergey Levine
cs.LGcs.ROcs.SYarXiv:2507.09041v12025
Object Handovers: a Review for Robotics
Valerio Ortenzi, Akansel Cosgun, Tommaso Pardi +3
cs.ROeess.SYarXiv:2007.12952v22020
Robust Filtering and Smoothing with Gaussian Processes
Marc Peter Deisenroth, Ryan Turner, Marco F. Huber +2
eess.SYcs.AIcs.ROarXiv:1203.4345v12012
Decision-Making in Driver-Automation Shared Control: A Review and Perspectives
Wenshuo Wang, Xiaoxiang Na, Dongpu Cao +4
eess.SYarXiv:2007.12597v12020
A Survey of Machine Learning Methods for Detecting False Data Injection Attacks in Power Systems
Ali Sayghe, Yaodan Hu, Ioannis Zografopoulos +4
eess.SYcs.CRcs.SYarXiv:2008.06926v12020
Smoothing Traffic Flow via Control of Autonomous Vehicles
Yang Zheng, Jiawei Wang, Keqiang Li
math.OCeess.SYarXiv:1812.09544v22018
Control Barrier Functions for Unknown Nonlinear Systems using Gaussian Processes
Pushpak Jagtap, George J. Pappas, Majid Zamani
eess.SYcs.LGcs.SYarXiv:2010.05818v12020
Optimization-based Islanding of Power Networks using Piecewise Linear AC Power Flow
P. A. Trodden, W. A. Bukhsh, A. Grothey +1
math.OCcs.SYeess.SYarXiv:1310.6675v22013
Using SHAP Values and Machine Learning to Understand Trends in the Transient Stability Limit
Robert I. Hamilton, Panagiotis N. Papadopoulos
eess.SYcs.SYarXiv:2302.06274v12023
Minimal Actuator Placement with Bounds on Control Effort
V. Tzoumas, M. A. Rahimian, G. J. Pappas +1
math.OCcs.MAeess.SYarXiv:1409.3289v52014
A Review of Deep Reinforcement Learning for Smart Building Energy Management
Liang Yu, Shuqi Qin, Meng Zhang +3
eess.SYeess.SParXiv:2008.05074v32020
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
Decision making under uncertainty in energy systems: state of the art
Alireza Soroudi, Turaj Amraee
eess.SYarXiv:1911.10905v12019
Stability robustness of a feedback interconnection of systems with negative imaginary frequency response
A. Lanzon, I. R. Petersen
math.OCeess.SYarXiv:1401.7739v12014
NTU VIRAL: A Visual-Inertial-Ranging-Lidar Dataset, From an Aerial Vehicle Viewpoint
Thien-Minh Nguyen, Shenghai Yuan, Muqing Cao +3
cs.ROeess.SYarXiv:2202.00379v12022
Visual Dexterity: In-Hand Reorientation of Novel and Complex Object Shapes
Tao Chen, Megha Tippur, Siyang Wu +3
cs.ROcs.AIcs.CVarXiv:2211.11744v32022
An improved convergence analysis for decentralized online stochastic non-convex optimization
Ran Xin, Usman A. Khan, Soummya Kar
math.OCcs.LGcs.MAarXiv:2008.04195v22020
DeepOPF: A Deep Neural Network Approach for Security-Constrained DC Optimal Power Flow
Xiang Pan, Tianyu Zhao, Minghua Chen +1
eess.SYcs.LGarXiv:1910.14448v32019
A looped-functional approach for robust stability analysis of linear impulsive systems
Corentin Briat, Alexandre Seuret
math.OCeess.SYmath.CAarXiv:1207.1893v12012
A distributed primal-dual algorithm for computation of generalized Nash equilibria with shared affine coupling constraints via operator splitting methods
Peng Yi, Lacra Pavel
math.OCcs.GTeess.SYarXiv:1703.05388v12017
Deep Reinforcement Learning for Collaborative Edge Computing in Vehicular Networks
Mushu Li, Jie Gao, Lian Zhao +1
eess.SYcs.LGarXiv:2010.01722v12020
Stochastic Distribution Network Reconfiguration under Load Uncertainty
Celso Cavellucci, Fábio Luiz Usberti
eess.SYcs.SYarXiv:2610.12154v12026
Perceptive Humanoid Parkour: Chaining Dynamic Human Skills via Motion Matching
Zhen Wu, Xiaoyu Huang, Lujie Yang +8
cs.ROcs.AIcs.LGarXiv:2602.15827v22026
DFX: A Low-latency Multi-FPGA Appliance for Accelerating Transformer-based Text Generation
Seongmin Hong, Seungjae Moon, Junsoo Kim +4
eess.SYcs.ARcs.LGarXiv:2209.10797v12022

Systems and Control

Controlling complex networks: How much energy is needed?

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

Safety-enhanced UAV Path Planning with Spherical Vector-based Particle Swarm Optimization

Efficient Computation of Sensitivity Coefficients of Node Voltages and Line Currents in Unbalanced Radial Electrical Distribution Networks

Multi-UAV Path Planning for Wireless Data Harvesting with Deep Reinforcement Learning

Cooperative look-ahead control for fuel-efficient and safe heavy-duty vehicle platooning

Comparative Analysis of Control Barrier Functions and Artificial Potential Fields for Obstacle Avoidance

Learning structured linear dynamical systems from missing observations

Hybrid Reinforcement Learning-Based Eco-Driving Strategy for Connected and Automated Vehicles at Signalized Intersections

A Barrier Function Approach to Finite-Time Stochastic System Verification and Control

The KL-UCB Algorithm for Bounded Stochastic Bandits and Beyond

Adaptive Agent Design

Approximate information state for approximate planning and reinforcement learning in partially observed systems

Why Three Phases? A Historical and Engineering Reassessment of Phase Order in AC Power Transmission

Control Principles of Complex Networks

Planning Optimal Paths for Multiple Robots on Graphs

Scalable Tube-Tightened Multi-Agent Safety via Certified Constraint Reduction

Feedback Linearization based on Gaussian Processes with event-triggered Online Learning

Minimum Error Entropy Kalman Filter

Kron Reduction of Graphs with Applications to Electrical Networks

Combining Convex-Concave Decompositions and Linearization Approaches for solving BMIs, with application to Static Output Feedback

5G network slicing using SDN and NFV- A survey of taxonomy, architectures and future challenges

Mitigating LLM sycophancy with RL-based fine-tuning: Bayesian Truth Serum approach

Optimal transport for Gaussian mixture models

Dynamic droop specifications for Grid-Forming Inverter-Based Resources

Spatiotemporal Response Decay for Near-Optimal Distributed LQR via System Level Synthesis

Resilient Randomized Quantized Consensus

A Review of Reinforcement Learning for Autonomous Building Energy Management

A Survey on LoRa Networking: Research Problems, Current Solutions and Open Issues

Resilient Consensus of Second-Order Agent Networks: Asynchronous Update Rules with Delays

Optimal control as a graphical model inference problem

Milestones in Autonomous Driving and Intelligent Vehicles Part I: Control, Computing System Design, Communication, HD Map, Testing, and Human Behaviors

A Robust Consensus Algorithm for Current Sharing and Voltage Regulation in DC Microgrids

BLE Beacons for Indoor Positioning at an Interactive IoT-Based Smart Museum

Simultaneous Contact, Gait and Motion Planning for Robust Multi-Legged Locomotion via Mixed-Integer Convex Optimization

Modified Gaussian Process Regression Models for Cyclic Capacity Prediction of Lithium-ion Batteries

Behavioral Exploration: Learning to Explore via In-Context Adaptation

Object Handovers: a Review for Robotics

Robust Filtering and Smoothing with Gaussian Processes

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

A Survey of Machine Learning Methods for Detecting False Data Injection Attacks in Power Systems

Smoothing Traffic Flow via Control of Autonomous Vehicles

Control Barrier Functions for Unknown Nonlinear Systems using Gaussian Processes

Optimization-based Islanding of Power Networks using Piecewise Linear AC Power Flow

Using SHAP Values and Machine Learning to Understand Trends in the Transient Stability Limit

Minimal Actuator Placement with Bounds on Control Effort

A Review of Deep Reinforcement Learning for Smart Building Energy Management

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

Decision making under uncertainty in energy systems: state of the art

Stability robustness of a feedback interconnection of systems with negative imaginary frequency response

NTU VIRAL: A Visual-Inertial-Ranging-Lidar Dataset, From an Aerial Vehicle Viewpoint

Visual Dexterity: In-Hand Reorientation of Novel and Complex Object Shapes

An improved convergence analysis for decentralized online stochastic non-convex optimization

DeepOPF: A Deep Neural Network Approach for Security-Constrained DC Optimal Power Flow

A looped-functional approach for robust stability analysis of linear impulsive systems

A distributed primal-dual algorithm for computation of generalized Nash equilibria with shared affine coupling constraints via operator splitting methods

Deep Reinforcement Learning for Collaborative Edge Computing in Vehicular Networks

Stochastic Distribution Network Reconfiguration under Load Uncertainty

Perceptive Humanoid Parkour: Chaining Dynamic Human Skills via Motion Matching

DFX: A Low-latency Multi-FPGA Appliance for Accelerating Transformer-based Text Generation