Model Predictive Control

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Period ending 2026-09-21

38 new papers

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Period ending 2026-09-14

11 new papers

A weekly snapshot of new work published in Model Predictive Control.

Period ending 2026-09-07

17 new papers

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653 papers

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  1. When Can Safe Controllers Adapt? Information before Commitment

    Jul 18, 2026Venkatesh SaligramaAdaptive ControllerSafety Constraints

  2. AI-Augmented Model Predictive Control for Safe and Adaptive Rendezvous and Proximity Operations

    Jul 18, 2026Luca Sportelli, Tyler Barr, Cagri Kilic +1Model Predictive ControlProximity Operations

  3. Learning from World Feedback: Why Model Uncertainty Fails as a Risk Signal in Model-Based RL

    Jul 18, 2026Zhaohui WangModel Predictive ControlSafety Constraints

  4. Physics-enhanced reinforcement learning for real-time optimal control of dynamical systems

    Jul 17, 2026Matteo Tomasetto, Nicolò Botteghi, Gabriele Bruni +1Iterative Reinforcement LearningOptimal Control

  5. Pick-to-Learn Calibration of an MPC Policy for an Origin-to-Destination Flight Problem

    Jul 17, 2026Marco C. Campi, Simone GarattiModel Predictive ControlControl System Operator Learning

  6. RAVEN: Reinforcement-Adaptive Visibility-Graph Planning for Robust Humanoid Navigation with Collision-Free MPC

    Jul 17, 2026Ruochen Hou, Shiqi Wang, Beom Jun Kim +3Obstacle AvoidanceModel Predictive Control

  7. Steering Robustness into World Action Models via Mechanistic Interpretability and Optimal Control

    Jul 16, 2026Jihoon Hong, Julian Skifstad, Qiyue Dai +2Efficient World-Action ModelWorld Models

  8. NeuralChaos: Optimal Adapted Approximation of Square Integrable Predictable Processes

    Jul 15, 2026Anastasis Kratsios, Giulia Livieri, Philipp SchmockerNeural-Network ApproximationStochastic Systems

  9. Lyapunov Guidance: A Unified Framework for Stabilizing Generative Flows

    Jul 15, 2026Jingdong Zhang, Xinze Li, Yize Jiang +3Neural GuidanceReward-Guided Diffusion

  10. Information-Theoretic Adaptive Cooling for Deterministic MPPI via Entropy Feedback

    Jul 15, 2026Shuqi Wang, Wenrong Sun, Tao Han +2Model Predictive Path IntegralOptimal Control

  11. Lyapunov Exponent as Physics-Informed Dense Reward: RL Discovery of Stabilization Beyond the Kapitza Pendulum

    Jul 15, 2026Slava AndrejevLyapunov FunctionIterative Reinforcement Learning

  12. Adaptive Control of Motor-Position-Controlled Flexible Joint Robots with Uncertain Joint Stiffness

    Jul 15, 2026Annika Kirner, Grazia Zambella, Igor Kovacevic +3Adaptive ControllerRobotic Arms

  13. Conditional Invertible Neural Networks for Data-Driven UAV Control: A 2-D Proof of Concept

    Jul 15, 2026Christian Wittke, Stephan Myschik, Oliver NiggemannQuadrotor ControlNeural Control

  14. Distributionally Robust and Safe Imitation Learning

    Jul 15, 2026Ahmed Aboudonia, Naira HovakimyanImitation LearningAdaptive Controller

  15. Safe Overtaking for Autonomous Racing Using Hierarchical Optimization and Learning-Based Control

    Jul 15, 2026Hassan Jardali, Kai Yin, Lantao LiuAutonomous RacingModel Predictive Control

  16. Adapting Generalist Vehicle Models for High-Speed MPC Across Terrains

    Jul 14, 2026Rwik Rana, Jesse Quattrociocchi, Christian Ellis +3Vehicle DynamicsModel Predictive Control

  17. Parsimonious disturbance-aware minimum-time planning with parametric uncertainty

    Jul 14, 2026Martino Gulisano, Matteo Masoni, Marco GabicciniVehicle DynamicsModel Predictive Control

  18. Verifier-Based Reinforcement Fine-Tuning of Reasoning Models for Thermal Energy Storage Control

    Jul 14, 2026Takumi Shioda, Kohei Terashima, Tatsuo NagaiReinforcement Learning With Verifiable RewardReinforcement Fine-Tuning

  19. Autonomous Tracking and Terminal Guidance of Moving Targets for Fixed-Wing UAVs

    Jul 14, 2026Wei-Hao Liou, Teng-Hu ChengUnmanned Aerial VehiclesVisual Servoing

  20. Learning-enabled Acceleration of Scenario-based Model Predictive Control

    Jul 14, 2026Trinh Tran, Binh Nguyen, Truong X. NghiemModel Predictive ControlAlternating Direction Method Of Multiplier

  21. Gradient-free learning of a closed-loop wall controller for turbulent drag reduction

    Jul 14, 2026Giorgio Maria Cavallazzi, Miguel Pérez Cuadrado, Alfredo PinelliTurbulenceClosed-Loop Control

  22. Flatness-Preserving Residual Learning for Real-Time Tight Quadrotor Formation Flight

    Jul 14, 2026Pei-An Hsieh, Fengjun Yang, Nikolai Matni +1Quadrotor ControlFlight Performance

  23. Quantum Port-Hamiltonian Neural Networks: Learning Conservative and Dissipative Dynamics via Measurement-Induced Nonlinearity

    Jul 14, 2026Dibakar SigdelQuantum Neural NetworksNeural Control

  24. LQG solution for POMDP without estimating states: A minimum variance approach

    Jul 13, 2026Ranjan Sarkar, Prabhat K. MishraLinear Quadratic RegulatorDiscrete-Time Linear Systems

  25. Coordinated Incremental Trajectory Tracking of a Tailsitter Drone

    Jul 13, 2026Evangelos Ntouros, Ewoud J. J. SmeurUncrewed Aerial VehiclesDrone

  26. WarpMPC: Large-Batch MPC on GPU via ADMM with Unrolled LDL⊤LDL^\top Factorization

    Jul 13, 2026Henrik Hose, Se Hwan Jeon, Charles Khazoom +2Quadratic ProgramsAlternating Direction Method Of Multiplier

  27. Implicit Neural Networks as Static Controllers: Certificates and Performance Separation

    Jul 13, 2026Giuseppe C. Calafiore, Laurent El GhaouiNeural ControlFeedback Linearization

  28. Actor-Critic Learning for Extended Mean Field Control with Deterministic Policies

    Jul 13, 2026Ziheng Cheng, Xin Guo, Huyên Pham +1Model-Free Reinforcement LearningStochastic Optimal Control

  29. Real-Time Rulebook-Aware Nonlinear MPC for Autonomous Driving with Priority-Biased Tiered Slacks

    Jul 13, 2026Hadi Hajieghrary, Benedikt Walter, Chaitanya Shinde +2Model Predictive ControlVehicle Dynamics

  30. D-SafeMPC: Diffusion-Driven Safe Model Predictive Control with Discrete-Time Control Barrier Functions

    Jul 12, 2026Erdi Sayar, Ersin Daş, Joel W. Burdick +2Model Predictive ControlDiffusion Planning

  31. Tracking Through Decoupling Singularities: A Singularity-Robust Homotopy-Continuation Extension of Feedback Linearization

    Jul 11, 2026Alex BorisevichFeedback LinearizationSingularity

  32. Navigating the Crowd: Non-linear MPC with Social Forces Dynamics for Human-Aware Robot Navigation

    Jul 11, 2026Stefano Trepella, Andrea Ostuni, Mauro Martini +5Social Robot NavigationModel Predictive Control

  33. A Control Theory of Predictability in Latent World Models

    Jul 11, 2026Hanzhe You, Yonggang Zhang, Maohao Ran +6Latent World ModelsReward-Prediction Error

  34. PIER-Flow: Physics-Informed Efficient Rectified Flow for Real-Time Mobile Robot Navigation

    Jul 11, 2026Shibo Li, Zhongcheng Wang, Jiahe Cao +2Social Robot NavigationAutonomous Navigation

  35. Diffusion-Residual Model Predictive Steering Control for Vehicle Stabilization at the Limit of Handling under Model Uncertainty

    Jul 11, 2026Bongsob SongModel Predictive ControlVehicle Dynamics

  36. Understanding Schedule-Free Methods in Nonconvex Optimization: Rate Guarantees and Escaping Saddles

    Jul 10, 2026Jiseok Chae, Donghwan KimConvex OptimizationConvergence Analysis

  37. Control Laguerre Tessellation: Semi-discrete Optimal Transport Over Control Systems

    Jul 10, 2026Ripon C. Sarker, Abhishek HalderOptimal TransportOptimal Control

  38. Adaptive MPPI with Online Disturbance Covariance Estimation: Provable Stability Tightening via Spatial Smoothing

    Jul 9, 2026Hyung-Jin Yoon, Hunmin KimModel Predictive Path IntegralLyapunov Function

  39. An optimal control approach for neural network architecture adaptation with a posteriori error estimation

    Jul 8, 2026C G Krishnanunni, Thomas Scott, Tan Bui-ThanhNeural-Network ApproximationNeural Network Optimization

  40. Dynamic neural manifolds for flexible closed-loop control on neuromorphic hardware

    Jul 8, 2026Oskar von Seeler, Christian Tetzlaff, Andrew LehrNeuromorphic HardwareNeural Control

  41. Safe Reinforcement Learning using Ideas from Model Predictive Control

    Jul 8, 2026Georg Schäfer, Jakob Rehrl, Stefan Huber +1Safety ConstraintsIterative Reinforcement Learning

  42. Residual-Conservative Model Predictive Path Integral Control

    Jul 8, 2026Hyung-Jin Yoon, Hunmin KimModel Predictive Path IntegralModel Predictive Control

  43. Neural-ESO: A Dual-Pathway Architecture for Provably Robust Learning-Based Control

    Jul 7, 2026Fan Zhang, Richie Suganda, Jinfeng Chen +4Lyapunov FunctionState Estimation

  44. Clustering-Embedded Model Predictive Path Integral Control: Avoiding Averaging-Induced Failure and Enabling Efficient Cluster Selection for Dynamic Obstacles

    Jul 7, 2026Zidong Liu, Kaixin Chang, Xu ChenModel Predictive Path IntegralObstacle Avoidance

  45. MP-MPPI: A Motion Primitive Guided Sampling-Based Optimizer for Model Predictive Control

    Jul 7, 2026Marlon Mathisen, Aksel Vaaler, Olav Egeland +1Model Predictive Path IntegralModel Predictive Control

  46. Advances in Neural Controlled Differential Equations

    Jul 6, 2026Benjamin WalkerNeural Ordinary Differential EquationsNeural Control

  47. Lyapunov-Guided Training for Hardware-Safe Neural Networks Under Fixed-Point Arithmetic

    Jul 5, 2026Anis Hamadouche, Amir HussainLyapunov FunctionNeural Network

  48. GPU-Accelerated Polygonal Signed Distance Functions for Real-Time Collision Avoidance

    Jul 5, 2026Taekwon Ga, Jongeun ChoiContinuous Distance FieldCollision Avoidance

  49. Integrated Graph Search and Model Predictive Control for Smooth and Efficient Path Planning in Autonomous Vehicles

    Jul 5, 2026Duc-Tien Bui, Ngoc Thinh Nguyen, Hung Duy Nguyen +3Coverage Path PlanningVehicle Dynamics

  50. Anytime Plug-and-Play Control with Contract-Based Distributed MPC

    Jul 5, 2026Sabrina Bodmer, Danilo Saccani, Melanie N. Zeilinger +1Multi-Robot SystemsCollision Avoidance

  51. Finite-Sample Closed-Loop Stability of Model Predictive Path Integral Control for Linear Time-Invariant Systems

    Jul 4, 2026Hyung-Jin Yoon, Hunmin KimModel Predictive Path IntegralModel Predictive Control

  52. Co-Adaptive Multi-Task LoRA: Transfer-Aware, Label-Free Control of Domain Participation

    Jul 3, 2026Wei Zhang, Lin Tang, Ming Zhao +1Domain AdaptationLow-Rank Adaptation Adapters

  53. High-Precision Formation Control for Heterogeneous Multi-Robot Systems via Hierarchical Hybrid Physics-Informed Deep Reinforcement Learning

    Jul 3, 2026Yanzhou Li, Guangli Chen, Xiao-Meng Li +3Robust Formation ControlIterative Reinforcement Learning

  54. ADP: Adversarial Dynamics Priors for Physically Grounded Humanoid Locomotion

    Jul 3, 2026Seokju Lee, Jeongtae Lee, Jeonghyeok Lim +6Perceptive Locomotion PoliciesAdversarial Motion Priors

  55. Closed-loop vs. Open-loop Kalman Filter Architectures in Airborne Aided Inertial Navigation

    Jul 3, 2026Antonia Hager, Torleiv H. BryneInertial Navigation SystemsExtended Kalman Filter

  56. Strouhal-Aware Model Predictive Control for Efficient Multi-Fin Flapping Locomotion

    Jul 3, 2026Yuya Hamamatsu, Zixi Chen, Maarja Kruusmaa +1Model Predictive ControlAutonomous Underwater Vehicles

  57. Lightweight Polyp Segmentation via a Gain-Aware Prediction-Space Recursive Controller

    Jul 3, 2026Jiachi Zhang, Zhuoyu Wu, Quanjun Wang +2Polyp SegmentationArtifact Correction

  58. Longitudinal-Motion-Aware Lateral Control for Autonomous Vehicles: A Robust Nonlinear Control Framework

    Jul 3, 2026Sixu Li, Nitesh Kumar, Reyshwanth Ganeshan +3Vehicle DynamicsAdaptive Controller

  59. A Spiking Sequence Generator for Polar Trajectories on Neuromorphic Hardware

    Jul 2, 2026William R. P. Nourse, Roger D. QuinnNeuromorphic HardwareNeural Control

  60. Optimality-Informed Neural Networks for Lunar Landing Trajectory Optimization

    Jul 2, 2026Zhenbo WangOptimal ControlNeural Network Optimization