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.

Search paper metadata (including unsummarized papers)

1,141 to 1,200 of 2,215

Learning human behaviors from motion capture by adversarial imitation
Josh Merel, Yuval Tassa, Dhruva TB +5
cs.ROcs.LGeess.SYarXiv:1707.02201v22017
Learning High-Speed Flight in the Wild
Antonio Loquercio, Elia Kaufmann, René Ranftl +3
cs.ROcs.LGeess.SYarXiv:2110.05113v12021
Manipulation of Deformable Linear Objects Using Model Predictive Path Integral Control with Bidirectional Long Short-Term Memory Learning
Lukas Zeh, Johannes Meiwaldt, Zexu Zhou +2
cs.ROeess.SYarXiv:2609.26238v12026
Key Reconciliation with RC-LDPC/Error Estimation for Satellite-based FSO/QKD Systems
Cuong T. Nguyen, Hoang D. Le, Anshul Jaiswal +2
cs.NIeess.SYarXiv:2609.25646v12026
An overview of Koopman-based control: From error bounds to closed-loop guarantees
Robin Strässer, Karl Worthmann, Igor Mezić +3
eess.SYcs.SYarXiv:2509.02839v22025
Extended Object Tracking with Random Hypersurface Models
Marcus Baum, Uwe D. Hanebeck
eess.SYarXiv:1304.5084v12013
You Only Demonstrate Once: Category-Level Manipulation from Single Visual Demonstration
Bowen Wen, Wenzhao Lian, Kostas Bekris +1
cs.ROcs.AIcs.CVarXiv:2201.12716v22022
A systematic review of recent air source heat pump (ASHP) systems assisted by solar thermal, photovoltaic and photovoltaic/thermal sources
Xinru Wang, Liang Xia, Chris Bales +4
eess.SYarXiv:2102.09797v12021
Vaccination and SARS-CoV-2 variants: how much containment is still needed? A quantitative assessment
Giulia Giordano, Marta Colaneri, Alessandro Di Filippo +6
q-bio.PEeess.SYmath.DSarXiv:2102.08704v12021
MPC for Humanoid Gait Generation: Stability and Feasibility
Nicola Scianca, Daniele De Simone, Leonardo Lanari +1
cs.ROcs.SYeess.SYarXiv:1901.08505v32019
Robust stability and stabilization of uncertain linear positive systems via Integral Linear Constraints: L1- and Linfinity-gains characterization
Corentin Briat
eess.SYmath.CAmath.DSarXiv:1204.3554v32012
Revisiting Grid-Forming and Grid-Following Inverters: A Duality Theory
Yitong Li, Yunjie Gu, Timothy C. Green
eess.SYarXiv:2105.13094v32021
Learning How to Autonomously Race a Car: a Predictive Control Approach
Ugo Rosolia, Francesco Borrelli
eess.SYmath.OCarXiv:1901.08184v42019
Cautious Model Predictive Control using Gaussian Process Regression
Lukas Hewing, Juraj Kabzan, Melanie N. Zeilinger
eess.SYmath.OCarXiv:1705.10702v42017
Using Inertial Sensors for Position and Orientation Estimation
Manon Kok, Jeroen D. Hol, Thomas B. Schön
cs.ROeess.SYarXiv:1704.06053v22017
Energy-Efficient UAV-Assisted Mobile Edge Computing: Resource Allocation and Trajectory Optimization
Mushu Li, Nan Cheng, Jie Gao +4
cs.NIeess.SPeess.SYarXiv:2007.15105v12020
Radar and Communication Co-existence: an Overview
Le Zheng, Marco Lops, Yonina C. Eldar +1
eess.SPeess.SYarXiv:1902.08676v12019
Novel Multidimensional Models of Opinion Dynamics in Social Networks
Sergey E. Parsegov, Anton V. Proskurnikov, Roberto Tempo +1
eess.SYcs.SImath.OCarXiv:1505.04920v52015
Contraction Theory for Nonlinear Stability Analysis and Learning-based Control: A Tutorial Overview
Hiroyasu Tsukamoto, Soon-Jo Chung, Jean-Jacques E. Slotine
cs.LGcs.ROeess.SYarXiv:2110.00675v82021
$(\text{DNN})^2$: Doubly Non-Negative Relaxations for Deep Neural Networks
Hanna Jiamei Zhang, Alan Papalia, Michael Everett +1
cs.LGcs.ROeess.SYarXiv:2608.24743v12026
Testing Scenario Library Generation for Connected and Automated Vehicles, Part I: Methodology
Shuo Feng, Yiheng Feng, Chunhui Yu +2
eess.SYcs.ROarXiv:1905.03419v32019
Using Battery Storage for Peak Shaving and Frequency Regulation: Joint Optimization for Superlinear Gains
Yuanyuan Shi, Bolun Xu, Di Wang +1
eess.SYcs.DCmath.OCarXiv:1702.08065v32017
Pedestrian Models for Autonomous Driving Part II: High-Level Models of Human Behavior
Fanta Camara, Nicola Bellotto, Serhan Cosar +11
cs.ROcs.GTcs.HCarXiv:2003.11959v22020
Reinforcement Learning for Temporal Logic Control Synthesis with Probabilistic Satisfaction Guarantees
Mohammadhosein Hasanbeig, Yiannis Kantaros, Alessandro Abate +3
cs.LOcs.LGeess.SYarXiv:1909.05304v12019
Adaptive Adjustment of Noise Covariance in Kalman Filter for Dynamic State Estimation
Shahrokh Akhlaghi, Ning Zhou, Zhenyu Huang
eess.SYarXiv:1702.00884v12017
Torque Saturation in Bipedal Robotic Walking through Control Lyapunov Function Based Quadratic Programs
Kevin Galloway, Koushil Sreenath, Aaron D. Ames +1
eess.SYcs.ROmath.OCarXiv:1302.7314v12013
Energy Storage Sharing in Smart Grid: A Modified Auction Based Approach
Wayes Tushar, Bo Chai, Chau Yuen +4
eess.SYarXiv:1512.07700v12015
Higher-order interactions shape collective dynamics differently in hypergraphs and simplicial complexes
Yuanzhao Zhang, Maxime Lucas, Federico Battiston
nlin.AOcond-mat.dis-nneess.SYarXiv:2203.03060v32022
Decentralized Estimation of Laplacian Eigenvalues in Multi-Agent Systems
Mauro Franceschelli, Andrea Gasparri, Alessandro Giua +1
eess.SYcs.SYarXiv:1206.4509v12012
Distributed Model Predictive Control for Optimal Consensus of Constrained Heterogeneous Multi-agent Systems
Nan Bai, Tao Liu, Qishao Wang +1
eess.SYarXiv:2608.28180v12026
Breaking the Curse of Horizon: Infinite-Horizon Off-Policy Estimation
Qiang Liu, Lihong Li, Ziyang Tang +1
cs.LGcs.AIeess.SYarXiv:1810.12429v12018
Quantifying Power to Voltage and Frequency Dynamics for Oscillation Propagation Assessment
Onur Alican, Dionysios Moutevelis, Marc Cheah-Mañe +2
eess.SYarXiv:2609.03929v12026
Data-driven stabilization of nonlinear polynomial systems with noisy data
Meichen Guo, Claudio De Persis, Pietro Tesi
math.OCeess.SYarXiv:2011.07833v12020
Model Based Control of Soft Robots: A Survey of the State of the Art and Open Challenges
Cosimo Della Santina, Christian Duriez, Daniela Rus
eess.SYcs.ROarXiv:2110.01358v22021
Safety-Critical Model Predictive Control with Discrete-Time Control Barrier Function
Jun Zeng, Bike Zhang, Koushil Sreenath
eess.SYcs.ROarXiv:2007.11718v32020
Beyond Higher-Pulse Rectification: Operational Harmonic Coordination in Renewable P2H Systems
Yangjun Zeng, Yiwei Qiu, Jie Zhu +6
math.OCeess.SYarXiv:2609.03531v12026
Interpretable Policies for Reinforcement Learning by Genetic Programming
Daniel Hein, Steffen Udluft, Thomas A. Runkler
cs.AIcs.NEeess.SYarXiv:1712.04170v22017
Bayesian Optimization with Safety Constraints: Safe and Automatic Parameter Tuning in Robotics
Felix Berkenkamp, Andreas Krause, Angela P. Schoellig
cs.ROcs.LGeess.SYarXiv:1602.04450v32016
Physics-constrained Deep Learning of Multi-zone Building Thermal Dynamics
Jan Drgona, Aaron R. Tuor, Vikas Chandan +1
cs.LGcs.NEeess.SYarXiv:2011.05987v12020
Real-Time Decision-Making for Digital Twin in Additive Manufacturing with Model Predictive Control using Time-Series Deep Neural Networks
Yi-Ping Chen, Vispi Karkaria, Ying-Kuan Tsai +5
cs.LGcs.AIeess.SYarXiv:2501.07601v52025
A Learning Based Approach to Control Synthesis of Markov Decision Processes for Linear Temporal Logic Specifications
Dorsa Sadigh, Eric S. Kim, Samuel Coogan +2
eess.SYarXiv:1409.5486v12014
Nash Equilibrium Computation in Subnetwork Zero-Sum Games with Switching Communications
Youcheng Lou, Yiguang Hong, Lihua Xie +2
eess.SYcs.GTmath.OCarXiv:1312.7050v22013
Impedance-Based Stability Analysis for Interconnected Converter Systems with Open-Loop RHP Poles
Yicheng Liao, Xiongfei Wang
eess.SYcs.SYeess.SParXiv:1811.09237v22018
Joint Planning of Distributed Generations and Energy Storage in Active Distribution Networks: A Bi-Level Programming Approach
Yang Li, Bo Feng, Bin Wang +1
eess.SYmath.OCarXiv:2201.05932v12022
Consensus of Multi-Agent Systems with General Linear and Lipschitz Nonlinear Dynamics Using Distributed Adaptive Protocols
Zhongkui Li, Wei Ren, Xiangdong Liu +1
eess.SYmath.OCarXiv:1109.3799v12011
DeepPool: Distributed Model-free Algorithm for Ride-sharing using Deep Reinforcement Learning
Abubakr Alabbasi, Arnob Ghosh, Vaneet Aggarwal
cs.NEeess.SYarXiv:1903.03882v12019
Conflict-Predictive Variable Horizons in Multi-Drone Distributed Model Predictive Control
Linda Mümken, Michael Schwung, Stefan Lier +1
cs.ROcs.AIcs.SYarXiv:2609.13270v12026
Data-Driven Modeling and Prediction of Non-Linearizable Dynamics via Spectral Submanifolds
Mattia Cenedese, Joar Axås, Bastian Bäuerlein +2
math.DScs.LGeess.SYarXiv:2201.04976v12022
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
On-Line Monitoring for Temporal Logic Robustness
Adel Dokhanchi, Bardh Hoxha, Georgios Fainekos
eess.SYarXiv:1408.0045v12014
Peer-to-Peer Trading in Electricity Networks: An Overview
Wayes Tushar, Tapan K. Saha, Chau Yuen +2
cs.MAeess.SYarXiv:2001.06882v12020
Sampling for Data Freshness Optimization: Non-linear Age Functions
Yin Sun, Benjamin Cyr
eess.SYcs.ITeess.SParXiv:1812.07241v42018
Global Convergence of Policy Gradient for Sequential Zero-Sum Linear Quadratic Dynamic Games
Jingjing Bu, Lillian J. Ratliff, Mehran Mesbahi
eess.SYcs.SYmath.OCarXiv:1911.04672v12019
Reinforcement Learning for Selective Key Applications in Power Systems: Recent Advances and Future Challenges
Xin Chen, Guannan Qu, Yujie Tang +2
cs.LGcs.AIeess.SYarXiv:2102.01168v52021
Fault Detection and Identification using Bayesian Recurrent Neural Networks
Weike Sun, Antonio R. C. Paiva, Peng Xu +2
stat.MLcs.LGcs.SYarXiv:1911.04386v22019
A Networked SIS Epidemic--Opinion Model with Higher-Order Interactions
Saba Samadi, José I. Caiza, Sebin Gracy +1
eess.SYarXiv:2608.31032v12026
Flexible Energy Management Protocol for Cooperative EV-to-EV Charging
Rongqing Zhang, Xiang Cheng, Liuqing Yang
eess.SYarXiv:1802.06059v12018
Dynamical System-Based Imitation Learning and Neuroadaptive Control for Trajectory Recovery in Autonomous Ships
Yeyson A. Becerra-Mora, José Ángel Acosta
eess.SYcs.ROarXiv:2608.23924v12026
Respiratory Mask Testing: Airway Inertance and System Dynamics
Mark M. Koeroghlian, Suraj Pawar, Raul G. Longoria
eess.SYcs.SYphysics.bio-pharXiv:2610.04222v12026
Resilient consensus for multi-agent systems subject to differential privacy requirements
Davide Fiore, Giovanni Russo
eess.SYcs.SYarXiv:1805.08458v22018

Systems and Control

Learning human behaviors from motion capture by adversarial imitation

Learning High-Speed Flight in the Wild

Manipulation of Deformable Linear Objects Using Model Predictive Path Integral Control with Bidirectional Long Short-Term Memory Learning

Key Reconciliation with RC-LDPC/Error Estimation for Satellite-based FSO/QKD Systems

An overview of Koopman-based control: From error bounds to closed-loop guarantees

Extended Object Tracking with Random Hypersurface Models

You Only Demonstrate Once: Category-Level Manipulation from Single Visual Demonstration

A systematic review of recent air source heat pump (ASHP) systems assisted by solar thermal, photovoltaic and photovoltaic/thermal sources

Vaccination and SARS-CoV-2 variants: how much containment is still needed? A quantitative assessment

MPC for Humanoid Gait Generation: Stability and Feasibility

Robust stability and stabilization of uncertain linear positive systems via Integral Linear Constraints: L1- and Linfinity-gains characterization

Revisiting Grid-Forming and Grid-Following Inverters: A Duality Theory

Learning How to Autonomously Race a Car: a Predictive Control Approach

Cautious Model Predictive Control using Gaussian Process Regression

Using Inertial Sensors for Position and Orientation Estimation

Energy-Efficient UAV-Assisted Mobile Edge Computing: Resource Allocation and Trajectory Optimization

Radar and Communication Co-existence: an Overview

Novel Multidimensional Models of Opinion Dynamics in Social Networks

Contraction Theory for Nonlinear Stability Analysis and Learning-based Control: A Tutorial Overview

$(\text{DNN})^2$: Doubly Non-Negative Relaxations for Deep Neural Networks

Testing Scenario Library Generation for Connected and Automated Vehicles, Part I: Methodology

Using Battery Storage for Peak Shaving and Frequency Regulation: Joint Optimization for Superlinear Gains

Pedestrian Models for Autonomous Driving Part II: High-Level Models of Human Behavior

Reinforcement Learning for Temporal Logic Control Synthesis with Probabilistic Satisfaction Guarantees

Adaptive Adjustment of Noise Covariance in Kalman Filter for Dynamic State Estimation

Torque Saturation in Bipedal Robotic Walking through Control Lyapunov Function Based Quadratic Programs

Energy Storage Sharing in Smart Grid: A Modified Auction Based Approach

Higher-order interactions shape collective dynamics differently in hypergraphs and simplicial complexes

Decentralized Estimation of Laplacian Eigenvalues in Multi-Agent Systems

Distributed Model Predictive Control for Optimal Consensus of Constrained Heterogeneous Multi-agent Systems

Breaking the Curse of Horizon: Infinite-Horizon Off-Policy Estimation

Quantifying Power to Voltage and Frequency Dynamics for Oscillation Propagation Assessment

Data-driven stabilization of nonlinear polynomial systems with noisy data

Model Based Control of Soft Robots: A Survey of the State of the Art and Open Challenges

Safety-Critical Model Predictive Control with Discrete-Time Control Barrier Function

Beyond Higher-Pulse Rectification: Operational Harmonic Coordination in Renewable P2H Systems

Interpretable Policies for Reinforcement Learning by Genetic Programming

Bayesian Optimization with Safety Constraints: Safe and Automatic Parameter Tuning in Robotics

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

Real-Time Decision-Making for Digital Twin in Additive Manufacturing with Model Predictive Control using Time-Series Deep Neural Networks

A Learning Based Approach to Control Synthesis of Markov Decision Processes for Linear Temporal Logic Specifications

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

Impedance-Based Stability Analysis for Interconnected Converter Systems with Open-Loop RHP Poles

Joint Planning of Distributed Generations and Energy Storage in Active Distribution Networks: A Bi-Level Programming Approach

Consensus of Multi-Agent Systems with General Linear and Lipschitz Nonlinear Dynamics Using Distributed Adaptive Protocols

DeepPool: Distributed Model-free Algorithm for Ride-sharing using Deep Reinforcement Learning

Conflict-Predictive Variable Horizons in Multi-Drone Distributed Model Predictive Control

Data-Driven Modeling and Prediction of Non-Linearizable Dynamics via Spectral Submanifolds

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

On-Line Monitoring for Temporal Logic Robustness

Peer-to-Peer Trading in Electricity Networks: An Overview

Sampling for Data Freshness Optimization: Non-linear Age Functions

Global Convergence of Policy Gradient for Sequential Zero-Sum Linear Quadratic Dynamic Games

Reinforcement Learning for Selective Key Applications in Power Systems: Recent Advances and Future Challenges

Fault Detection and Identification using Bayesian Recurrent Neural Networks

A Networked SIS Epidemic--Opinion Model with Higher-Order Interactions

Flexible Energy Management Protocol for Cooperative EV-to-EV Charging

Dynamical System-Based Imitation Learning and Neuroadaptive Control for Trajectory Recovery in Autonomous Ships

Respiratory Mask Testing: Airway Inertance and System Dynamics

Resilient consensus for multi-agent systems subject to differential privacy requirements