Feedback Control

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Overview

Feedback control studies how systems use measurements of their behavior to continually adjust actions, helping robots, vehicles, buildings, and industrial processes track goals and reject disturbances. Established approaches include PID and LQR, model-predictive control, and nonlinear designs based on Lyapunov functions, passivity, and control barrier functions; newer work adds reinforcement learning, learned dynamics, and Koopman models. These methods are tested in settings such as robotic manipulation and flight, HVAC and energy systems, vehicle guidance, and networked or multi-agent control, often with delays, partial sensing, actuator limits, and changing dynamics. A central challenge is gaining the adaptability of learning-based control without losing stability, safety, and verifiable performance, motivating hybrid designs with runtime safety filters and formal analysis.

Latest papers

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255 papers30 papers in the last four weeks, down 6% on the four weeks before. 0.2% of all new papers.

  1. Quasi-Static Control of Discrete Cosserat Rod

    May 2, 2026Srishti Siddharth, Domenico Campolo, Ravi BanavarRobot Trajectory TrackingFeedback Control

    Centre for Systems and Control Indian Institute of Technology Bombay Mumbai, India · School of Mechanical and Aerospace Engineering Nanyang Technological University Singapore

  2. Co-Learning Port-Hamiltonian Systems and Optimal Energy-Shaping Control

    Apr 28, 2026Ankur Kamboj, Biswadip Dey, Vaibhav SrivastavaDynamical SystemsFeedback Control

    Electrical and Computer Engineering, Michigan State University, East Lansing, MI 48824 · Meta Reality Labs, Redmond, WA 98052

  3. Rate-Optimal Regret for the Safe Learning-based Control of the Constrained Linear Quadratic Regulator

    Apr 24, 2026Spencer Hutchinson, Nanfei Jiang, Mahnoosh AlizadehStochastic Linear Dynamical SystemsStochastic Optimal Control

    Department of Electrical and Computer Engineering, University of California Santa Barbara

  4. The Feedback Hamiltonian is the Score Function: A Diffusion-Model Framework for Quantum Trajectory Reversal

    Apr 23, 2026Sagar Dubey, Alan JohnFeedback Control

    Stony Brook University Stony Brook, NY 11794, USA

  5. A Systematic Review and Taxonomy of Reinforcement Learning-Model Predictive Control Integration for Linear Systems

    Apr 22, 2026Mohsen Jalaeian Farimani, Roya Khalili Amirabadi, Davoud Nikkhouy +3RL ControlModel Predictive Control

    Department of Electronics, Information and Bioengineering (DEIB), Politecnico di Milano, Milan, Italy · Department of Applied Mathematics, Ferdowsi University of Mashhad, Mashhad, Iran · Department of Applied Mathematics, Faculty of Mathematical Sciences, University of Guilan, Rasht, Iran +2

  6. Passive Variable Impedance For Shared Control

    Apr 22, 2026Maximilian Mühlbauer, Nepomuk Werner, Ribin Balachandran +4Impedance ControlFeedback Control

    School of Computation, Information and Technology, Sensor Based Robotic Systems and Intelligent Assistance Systems, Technical University Munich, Friedrich-Ludwig-Bauer-Str. 3, Garching, Germany. · German Aerospace Center (DLR), Robotics and Mechatronics Center (RMC), Münchener Str. 20, 82234 Weßling, Germany.

  7. A Network-Aware Evaluation of Distributed Energy Resource Control in Smart Distribution Systems

    Apr 21, 2026Houchao GanDistributed OptimizationFeedback Control

    Department of Computer Science City University of New York

  8. Local Linearity of LLMs Enables Activation Steering via Model-Based Linear Optimal Control

    Apr 21, 2026Julian Skifstad, Xinyue Annie Yang, Glen ChouLLM AlignmentLanguage Model-Based Control

    1Georgia Institute of Technology, Atlanta, GA, USA. Schools of Electrical and Computer Engineering · 2Computer Science · 3Cybersecurity and Privacy, Aerospace Engineering

  9. Learning the Riccati solution operator for time-varying LQR via Deep Operator Networks

    Apr 20, 2026Jun Chen, Umberto Biccari, Junmin WangFeedback ControlDeep Operator Networks

  10. Planning Smooth and Safe Control Laws for a Unicycle Robot Among Obstacles

    Apr 19, 2026Aref Amiri, Basak Sakcak, Steven M. LaValleRobotic ControlConstrained Motion Planning

    Faculty of Information Technology and Electrical Engineering, University of Oulu · Department of Advanced Computing Sciences, Maastricht University

  11. Neural Network-Based Adaptive Event-Triggered Control for Dual-Arm Unmanned Aerial Manipulator Systems

    Apr 18, 2026Yang Wang, Hai Yu, Wei He +3Robot Trajectory TrackingAerial Robotics

    Institute of Robotics and Automatic Information System, College of Artificial Intelligence, and Tianjin Key Laboratory of Intelligent Robotics, Nankai University, Tianjin 300350, China. · Institute of Intelligence Technology and Robotic Systems, Shenzhen Research Institute of Nankai University, Shenzhen 518083, China.

  12. Safe Deep Reinforcement Learning for Building Heating Control and Demand-side Flexibility

    Apr 17, 2026Colin Jüni, Mina Montazeri, Yi Guo +3RL ControlBuilding Energy Management

    Urban Energy Systems Laboratory, Swiss Federal Laboratories for Materials Science and Technology, Dubendorf, Switzerland. · School of Automation, Beijing Institute of Technology, Haidian District, Beijing, China · Reliability and Risk Engineering Laboratory, ETH Zürich, CH-8092, Switzerland.

  13. Behavior Cloning Under PD Control: A Finite-Horizon Theory of Gain-Dependent Error Amplification

    Apr 15, 2026Junghoon SeoPID ControlBehavior Cloning

    PIT IN Corp., South Korea

  14. Learning step-level dynamic soaring in shear flow

    Apr 14, 2026Lunbing Chen, Jixin Lu, Yufei Yin +3Feedback ControlUAV Navigation

    J.C.Wu Center for Aerodynamics, School of Aeronautics and Astronautics, Shanghai Jiao Tong University, Shanghai 200240, PR China

  15. Prosociality by Coupling, Not Mere Observation: Homeostatic Sharing in an Inspectable Recurrent Artificial Life Agent

    Apr 12, 2026Aishik SanyalArtificial LifeEmergent Behavior in Multi-Agent Systems

    Independent Research Engineer

  16. AWARE: Adaptive Whole-body Active Rotating Control for Enhanced LiDAR-Inertial Odometry under Human-in-the-Loop Interaction

    Apr 12, 2026Yizhe Zhang, Jianping Li, Liangliang Yin +2UAV NavigationLiDAR Odometry

    State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, 430079, China · School of Electrical and Electronic Engineering, Nanyang Technological University, 639798, Singapore

  17. On Feedback Speed Control for a Planar Tracking

    Apr 10, 2026Xincheng Li, Tengyue Liu, Udit HalderInput-to-State StabilityMulti-Robot Formation Control

    Department of Mechanical and Aerospace Engineering, University of South Florida

  18. Robust Adaptive Backstepping Impedance Control of Robots in Unknown Environments

    Apr 10, 2026Reza Nazmara, Alap Kshirsagar, Jan Peters +1Backstepping ControlImpedance Control

    Research Center for Systems and Technologies (SYSTEC), ARISE, Faculty of Engineering, University of Porto, 4200-465 Porto, Portugal. · Intelligent Autonomous Systems Lab, Department of Computer Science, TU Darmstadt, Germany.

  19. Adversarial Sensor Errors for Safe and Robust Wind Turbine Fleet Control

    Apr 9, 2026Julian Quick, Marcus Binder Nilsen, Andreas Bechmann +2Robust ControlAdversarial Attacks

    Department of Wind and Energy Systems, Technical University of Denmark, Roskilde, Denmark · Department of Engineering Technology and Didactics, Technical University of Denmark, Ballerup, Denmark

  20. Controller Design for Structured State-space Models via Contraction Theory

    Apr 8, 2026Muhammad Zakwan, Vaibhav Gupta, Alireza Karimi +2Contraction TheoryFeedback Control

    Control & Automation Group, Inspire AG, 8005 Zürich, Switzerland · Automatic Control Laboratory (IfA), ETH Zürich, 8092 Zürich, Switzerland. · Laboratoire d’Automatique, EPFL, 1015 Lausanne, Switzerland.

  21. Production-Ready Automated ECU Calibration using Residual Reinforcement Learning

    Apr 8, 2026Andreas Kampmeier, Kevin Badalian, Lucas Koch +2RL ControlResidual Policy Learning

    Chair of Mechatronics in Mobile Propulsion, RWTH Aachen University, Forckenbeckstraße 4, Aachen, 52074, Germany

  22. Dynamic Control Allocation for Dual-Tilt UAV Platforms

    Apr 7, 2026Marcello Sorge, Federico Ciresola, Giulia Michieletto +1Aerial RoboticsFeedback Control

    Department of Information Engineering University of Padova Padova, Italy · Department of Management and Engineering, University of Padova Padova, Italy · Department of Industrial Engineering, University of Padova, Padova, Italy

  23. Periodic Event-Triggered Explicit Reference Governor for Constrained Attitude Control on SO(3)

    Apr 5, 2026Satoshi Nakano, Masahiro Suzuki, Misa Ohashi +2Feedback ControlEvent-Triggered Control

    The authors are with the Department of Engineering, Nagoya Institute of Technology, Nagoya, 4668555 Aichi, Japan

  24. Enhancing sample efficiency in reinforcement-learning-based flow control: replacing the critic with an adaptive reduced-order model

    Apr 5, 2026Zesheng Yao, Zhen-Hua Wan, Canjun Yang +2Sample-Efficient RLModel-Based RL

    School of Mechanical Engineering, Zhejiang University, Hangzhou, PR China · Department of Mechanical Engineering, National University of Singapore, 9 Engineering Drive 1, 117575 Singapore · Department of Modern Mechanics, University of Science and Technology of China, Hefei 230027, PR China

  25. Lotka-Sharpe Neural Operators for Control of Population PDEs

    Apr 4, 2026Miroslav Krstic, Iasson Karafyllis, Luke Bhan +1Feedback ControlPDE Operator Learning

    University of California, San Diego, USA · National Technical University of Athens, Greece · KTH Royal Institute Technology, Stockholm, Sweden

  26. Koopman-Based Nonlinear Identification and Model Predictive Control of a Turbofan Engine

    Apr 2, 2026David GrasevAdaptive MPCExtended Dynamic Mode Decomposition

    Department of Aviation Technology, University of Defence, Brno, Czech Republic.

  27. Planning for Change: Reinforcement Learning Combined with Bounded Extremum Seeking for Robotic Control under Distribution Shift

    Apr 1, 2026Shaifalee Saxena, Rafael Fierro, Alexander ScheinkerRobotic ControlReinforcement Learning

    Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, NM 87106, USA · Los Alamos National Lab, Los Alamos, NM 87547, USA

  28. Passive iFIR filters for data-driven velocity control in robotics

    Mar 31, 2026Yi Zhang, Zixing Wang, Fulvio ForniRobotic ControlData-Driven Control

    Department of Engineering, University of Cambridge, UK.

  29. Model Predictive Path Integral PID Control for Learning-Based Path Following

    Mar 31, 2026Teruki Kato, Koshi Oishi, Seigo ItoNonlinear MPCResidual Dynamics Learning

    Toyota Central R&D Labs., Inc., Nagakute 480-1192, Japan

  30. Sampling-Horizon Neural Operator Predictors for Nonlinear Control under Delayed Inputs

    Mar 31, 2026Luke Bhan, Peter Quawas, Miroslav Krstic +1Feedback ControlNeural Operators

    The authors are with the University of California San Diego