WangXiaoMingo / TensorDL-MPCLinks
DL-MPC(deep learning model predictive control) is a software toolkit developed based on the Python and TensorFlow frameworks, designed to enhance the performance of traditional Model Predictive Control (MPC) through deep learning technology. This toolkit provides core functionalities such as model training, simulation, parameter optimization.
☆37Updated 4 months ago
Alternatives and similar repositories for TensorDL-MPC
Users that are interested in TensorDL-MPC are comparing it to the libraries listed below
Sorting:
- Using PINN based MPC for motion planning for SDC and LSTM for pedestrain's trajectory prediction as dynamic obstacles☆43Updated 2 years ago
- LSTM-MPC: Deep Learning Based Predictive Control for Multimode Process Control☆39Updated 2 months ago
- This is the MATLAB code for tube robust MPC with uncertainty quantification☆41Updated last year
- Distributed DeeP-LCC for CAV cooperation in mixed traffic☆12Updated 2 years ago
- Enhancing Safety in Mixed Traffic: Learning-Based Modeling and Efficient Control of Autonomous and Human-Driven Vehicles☆13Updated last year
- A reliable controller is critical for execution of safe and smooth maneuvers of an autonomous vehicle. The controller must be robust to e…☆71Updated 6 years ago
- Repo for the distributed-safe-learning-control for DMPC program☆12Updated 3 weeks ago
- Code and example associated with the paper 'Model Predictive Control of Nonlinear Latent Force Models: A Scenario-based Approach' by T. W…☆10Updated 3 years ago
- ☆30Updated 3 years ago
- code for paper: [1] M. Hu, X. Wang, Y. Bian, D. Cao, and H. Wang, “Disturbance Observer-Based Cooperative Control of Vehicle Platoons Sub…☆27Updated last year
- ☆20Updated 3 years ago
- Code associated with the paper 'Nonlinear Model Predictive Control Based on Constraint-Aware Particle Filtering/Smoothing' by I. Askari☆13Updated 4 years ago
- a RL-MPC control scheme for Autonomous Driving☆20Updated 2 years ago
- Use Iterative Learning Control (ILC) for trajectory tracking task with the existence of model mismatch. Model Predictive Control (MPC) is…☆23Updated 11 months ago
- ☆23Updated last year
- Model-Based Reinforcement Learning for Highway Environment with MPC Planning: This repository presents an RL framework integrating Model …☆11Updated last year
- Control of a nonlinear liquid level system using a new artificial neural network based reinforcement learning approach☆51Updated 6 years ago
- ☆76Updated 2 years ago
- This repo is for developing a Koopman operator based MPC for autonomous vehicles.☆16Updated 2 years ago
- Prioritized Distributed Model Predictive Control for Networked Motion Planning☆24Updated 5 months ago
- J. Berberich, J. Köhler, M. A. Müller and F. Allgöwer, "Data-Driven Model Predictive Control With Stability and Robustness Guarantees," i…☆63Updated last year
- This is the implementation of the work done in "Optimized self-adaptive PID speed control for autonomous vehicles" paper.☆20Updated 5 months ago
- ITSC2023 Hybrid MPC & Spline-based Lane Change Controller in Autonomous Vehicles☆11Updated last year
- Python code for implementing a set of basic robust model predictive control (RMPC) algorithms for linear systems.☆27Updated 3 years ago
- Data-Driven Predictive Control☆76Updated last year
- Tube based Model Predictive Control that utilize Neural Networks to improve performance with adaptive control inputs.☆18Updated 3 years ago
- Improving Safety in Mixed Traffic: A Learning-based Model Predictive Control for Autonomous and Human-Driven Vehicle Platooning☆67Updated 2 years ago
- Torque Vectoring Predictive Control for Electric Vehicles☆16Updated 3 years ago
- Learning-Based Model Predictive Control (LBMPC)☆105Updated 6 years ago
- This simulation file demonstrates a variant of Robust Tube MPC in which the initial nominal state is a decision variable. Theoretical ba…☆15Updated last year