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2023-code-acc-distributed-model-predictive-flocking-with-obstacle-avoidance-and-asymmetric-interacti

Code for the Paper "Distributed Model Predictive Flocking with Obstacle Avoidance and Asymmetric Interaction Forces" by P. Hastedt and H. Werner

adaptive-koopman

A repository for an online adaptive Koopman algorithm

annotated_deep_learning_paper_implementations

🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

dallas-repeated-driving-cycle-dataset

data-enabled-predictive-control-deepc-implementation

deepc

Data-enabled predictive control (DeePC) implementation using MATLAB

deepcut

Multi Person Pose Estimation

dl-mpc-sls

Code needed to reproduce the examples found in the various works published on Distributed and Localized Model Predictive Control via System Level Synthesis, by C. Amo Alonso, S. J. Li, F. Yang, J. Anderson and N. Matni.

efficient-calibration-embedded-mpc

Python code of the paper "Efficient Calibration of Embedded MPC" (2020 IFAC World Congress) by Marco Forgione, Dario Piga, and Alberto Bemporad

ekf

ekf-nn-training

Implement backpropagation and extended kalman filter to train feedforward neural networks

event_trriggered_mpc_platoon

Reproduction of paper“Bandwidth-Aware Transmission Scheduling and Event-Triggered Distributed MPC for Vehicle Platoons”

honors

RL Based EMS for HEVs

mpc

mpc1

neural_network

This is a learning warehouse

pydeepc

Python library that implements DeePC: Data-Enabled Predictive Control

python-100-days

出处：https://github.com/jackfrued/Python-100-Days.git

rl-based-transferable-ems

[IV 2022] A Comparative Study of Reinforcement Learning-based Transferable Energy Management Strategies for Hybrid Electric Vehicles.

rokdeepc

code of paper "Robust and kernelized data-enabled predictive control for nonlinear systems"

trainekf

A demonstration of the extended Kalman filter (EKF) for training neural networks