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Model Predictive Control

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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/shaoruchen/polytopic-slsmpc

공식 코드

Robust Model Predictive Control with Polytopic Model Uncertainty through System Level Synthesis

https://github.com/shn66/Multi-Objective-LMPC

공식 코드

Multi-Objective Learning Model Predictive Control

https://github.com/shn66/lampos

공식 코드

Learning for Online Mixed-Integer Model Predictive Control with Parametric Optimality Certificates

https://github.com/shn66/rolmpc

공식 코드

Robust Output-Lifted Learning Model Predictive Control

https://github.com/shuoyang2000/neural_hybrid_cbf

공식 코드

Learning Local Control Barrier Functions for Hybrid Systems

https://github.com/sisl/deep_flow_control

공식 코드

Deep Dynamical Modeling and Control of Unsteady Fluid Flows

https://github.com/smpl-env/smpl

공식 코드

SMPL: Simulated Industrial Manufacturing and Process Control Learning Environments

https://github.com/stanfordasl/chreach

공식 코드

Convex Hulls of Reachable Sets

https://github.com/stanfordasl/convex_hull_reachability

공식 코드

Convex Hulls of Reachable Sets

https://github.com/stanfordasl/opt-ssm

공식 코드

Taming High-Dimensional Dynamics: Learning Optimal Projections onto Spectral Submanifolds

https://github.com/stanfordasl/rompc

공식 코드

Linear Reduced Order Model Predictive Control

https://github.com/svengronauer/x-mpsc

공식 코드

Reinforcement Learning with Ensemble Model Predictive Safety Certification

https://github.com/tastr/IdentificationBasedMPC

공식 코드

Adaptive tracking MPC for nonlinear systems via online linear system identification

https://github.com/tbanker/MPCritic

공식 코드

MPCritic: A plug-and-play MPC architecture for reinforcement learning

https://github.com/tbenciolini/safe-and-non-conservative-trajectory-planning

공식 코드

Safe and Non-Conservative Trajectory Planning for Autonomous Driving Handling Unanticipated Behaviors of Traffic Participants

https://github.com/thomasfork/Nonplanar-Vehicle-Control

공식 코드

Models and Predictive Control for Nonplanar Vehicle Navigation

https://github.com/thorewietzke/occupancy-benchmark-dataset

공식 코드

Occupancy Prediction for Building Energy Systems with Latent Force Models

https://github.com/thuml/TrajWorld

공식 코드

Trajectory World Models for Heterogeneous Environments

https://github.com/tim283/smpc_example

공식 코드

(Stochastic) Model Predictive Control -- a Simulation Example

https://github.com/todejong/deep-operator-neural-network-model-predictive-control

공식 코드

Deep Operator Neural Network Model Predictive Control

https://github.com/tokmaka1/alkia-x

공식 코드

Automatic nonlinear MPC approximation with closed-loop guarantees

https://github.com/tolgaok/offlinerlviaio

공식 코드

Offline Reinforcement Learning via Inverse Optimization

https://github.com/tomjz/online-knode-mpc

공식 코드

Online Dynamics Learning for Predictive Control with an Application to Aerial Robots

https://github.com/tsummerslab/risk_bounded_nonlinear_robot_motion_planning

공식 코드

Risk Bounded Nonlinear Robot Motion Planning With Integrated Perception & Control

https://github.com/tum-aas/neural-mpc

공식 코드

Real-time Neural-MPC: Deep Learning Model Predictive Control for Quadrotors and Agile Robotic Platforms

https://github.com/tumBAIS/ML-CO-pipeline-AMoD-control

공식 코드

Learning-based Online Optimization for Autonomous Mobility-on-Demand Fleet Control

https://github.com/tumcps/commonpower

공식 코드

CommonPower: A Framework for Safe Data-Driven Smart Grid Control

https://github.com/uiuc-iml/autompc

공식 코드

Efficient Automatic Tuning for Data-driven Model Predictive Control via Meta-Learning

https://github.com/umar-hashmi/linearprogrammingarbitrage

공식 코드

Optimal Storage Arbitrage under Net Metering using Linear Programming

https://github.com/unstable-zeros/dl-mpc-sls

공식 코드

Data-driven Distributed and Localized Model Predictive Control

https://github.com/upb-lea/gym-electric-motor

공식 코드

Towards a Reinforcement Learning Environment Toolbox for Intelligent Electric Motor Control

https://github.com/utiasdsl/fmpc_socp

공식 코드

Differentially Flat Learning-based Model Predictive Control Using a Stability, State, and Input Constraining Safety Filter

https://github.com/uzh-rpg/high_mpc

공식 코드

Learning High-Level Policies for Model Predictive Control

https://github.com/vanderschaarlab/neurallaplacecontrol

공식 코드

Neural Laplace Control for Continuous-time Delayed Systems

https://github.com/vita-epfl/RRB

공식 코드

Injecting Knowledge in Data-driven Vehicle Trajectory Predictors

https://github.com/webbah/sec-for-reinforcement-learning

공식 코드

Steady-State Error Compensation in Reference Tracking and Disturbance Rejection Problems for Reinforcement Learning-Based Control

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.