Model Predictive Control
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/escl-at-utd/zonolab
공식 코드zonoLAB: A MATLAB toolbox for set-based control systems analysis using hybrid zonotopes
https://github.com/evergi/real_validation_saferl_treec_paper
공식 코드https://github.com/evergi/treec-paper-results
공식 코드TreeC: a method to generate interpretable energy management systems using a metaheuristic algorithm
https://github.com/fabcaio/microgrid_rl
공식 코드Integrating Reinforcement Learning and Model Predictive Control with Applications to Microgrids
https://github.com/fdevinc/ungar
공식 코드Ungar $\unicode{x2013}$ A C++ Framework for Real-Time Optimal Control Using Template Metaprogramming
https://github.com/federico-pizarrobejarano/safe-control-gym
공식 코드Multi-Step Model Predictive Safety Filters: Reducing Chattering by Increasing the Prediction Horizon
https://github.com/fil-bad/efficientcctmpc
공식 코드Efficient Configuration-Constrained Tube MPC via Variables Restriction and Template Selection
https://github.com/filippoairaldi/mpcrl-cbf
공식 코드Probabilistically safe and efficient model-based Reinforcement Learning
https://github.com/filippoairaldi/mpcrl-for-ramp-metering
공식 코드Reinforcement Learning with Model Predictive Control for Highway Ramp Metering
https://github.com/fjyang96/flat-residual
공식 코드Learning Flatness-Preserving Residuals for Pure-Feedback Systems
https://github.com/flyingpeach/ACC2021-LayeredSLS
공식 코드Frontiers in Scalable Distributed Control: SLS, MPC, and Beyond
https://github.com/flyingpeach/localizedmpcperformance
공식 코드Global Performance Guarantees for Localized Model Predictive Control
https://github.com/freyjo/differentiable_nmpc
공식 코드https://github.com/garyandtang/gmpc-tracking-control
공식 코드GMPC: Geometric Model Predictive Control for Wheeled Mobile Robot Trajectory Tracking
https://github.com/gmaher/llmpc
공식 코드https://github.com/gokulp01/ComTraq-MPC
공식 코드https://github.com/haldunbalim/MultistepPredictors
공식 코드https://github.com/hannespetrenz/ralmpc_linear_uncertain_systems
공식 코드Robust MPC for Uncertain Linear Systems -- Combining Model Adaptation and Iterative Learning
https://github.com/harryzhangOG/salved
공식 코드Safe Deep Model-Based Reinforcement Learning with Lyapunov Functions
https://github.com/homangab/gradcem
공식 코드Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization
https://github.com/hshose/adaptive-ampc-cartpole
공식 코드Parameter-Adaptive Approximate MPC: Tuning Neural-Network Controllers without Retraining
https://github.com/hshose/soeampc
공식 코드Approximate non-linear model predictive control with safety-augmented neural networks
https://github.com/ihabmohamed/ann-fcmli
공식 코드https://github.com/jadyahya/roll-yaw-and-lateral-velocity-mpc
공식 코드https://github.com/jianzhou1212/interaction-safety-aware-motion-planning
공식 코드https://github.com/jianzhou1212/learning-based-homothetic-tube-mpc
공식 코드https://github.com/jimengshi/fidlar
공식 코드FIDLAR: Forecast-Informed Deep Learning Architecture for Flood Mitigation
https://github.com/jisacks/dmpo
공식 코드https://github.com/jlubars/RL-MPC-LaneMerging
공식 코드Combining Reinforcement Learning with Model Predictive Control for On-Ramp Merging
https://github.com/joemwatson/monte-carlo-posterior-policy-iteration
공식 코드Inferring Smooth Control: Monte Carlo Posterior Policy Iteration with Gaussian Processes
https://github.com/johannes-dornheim/Reinforce-FE
공식 코드https://github.com/jonas-sm/td-mpc-srl
공식 코드Model Predictive Control with Self-supervised Representation Learning
https://github.com/jwangjie/mixed-traffic-gp-mpc
공식 코드https://github.com/jy-cds/non-asymptotic-set-membership
공식 코드Learning the Uncertainty Sets for Control Dynamics via Set Membership: A Non-Asymptotic Analysis
https://github.com/kevinhuang8/datt
공식 코드DATT: Deep Adaptive Trajectory Tracking for Quadrotor Control
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.