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.
☆40Updated 8 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:
- LSTM-MPC: Deep Learning Based Predictive Control for Multimode Process Control☆67Updated 6 months ago
- Using PINN based MPC for motion planning for SDC and LSTM for pedestrain's trajectory prediction as dynamic obstacles☆50Updated 2 years 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
- Code associated with the paper 'Nonlinear Model Predictive Control Based on Constraint-Aware Particle Filtering/Smoothing' by I. Askari☆14Updated 4 years ago
- Enhancing Safety in Mixed Traffic: Learning-Based Modeling and Efficient Control of Autonomous and Human-Driven Vehicles☆18Updated last year
- This repo is for developing a Koopman operator based MPC for autonomous vehicles.☆19Updated 3 years ago
- A reliable controller is critical for execution of safe and smooth maneuvers of an autonomous vehicle. The controller must be robust to e…☆75Updated 6 years ago
- J. Berberich, J. Köhler, M. A. Müller and F. Allgöwer, "Data-Driven Model Predictive Control With Stability and Robustness Guarantees," i…☆77Updated 2 years ago
- Use Iterative Learning Control (ILC) for trajectory tracking task with the existence of model mismatch. Model Predictive Control (MPC) is…☆25Updated last year
- This is the MATLAB code for tube robust MPC with uncertainty quantification☆52Updated last year
- a RL-MPC control scheme for Autonomous Driving☆21Updated 2 years ago
- A simple robust MPC for linear systems with model mismatch: Balancing conservatism vs computational complexity☆32Updated 3 years ago
- Learning-Based Model Predictive Control (LBMPC)☆111Updated 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…☆19Updated last year
- Robust MPC for Linear Systems with Parametric and Additive Uncertainty☆27Updated 3 years ago
- ☆31Updated 3 years ago
- Data-Driven Predictive Control☆80Updated last year
- Tube based Model Predictive Control that utilize Neural Networks to improve performance with adaptive control inputs.☆21Updated 4 years ago
- Distributed DeeP-LCC for CAV cooperation in mixed traffic☆12Updated 3 years ago
- Short example of MPC and specifically stochastic MPC (SMPC) with chance constraints for Matlab.☆66Updated 2 years ago
- Data Driven Model Predictive Control using Gaussian Processes☆29Updated last year
- This repository contains the code for the method presented in the paper "Safe Data-Driven Model Predictive Control of Systems with Comple…☆12Updated 2 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…☆33Updated last year
- This is the implementation of the work done in "Optimized self-adaptive PID speed control for autonomous vehicles" paper.☆22Updated 9 months ago
- Z. Sun, Q. Wang, J. Pan and Y. Xia, "Data-Driven MPC for Linear Systems using Reinforcement Learning," 2021 China Automation Congress (CA…☆22Updated last year
- The code for the project Distributed Nonlinear Model Predictive Control (DNMPC) for vehicle platooning☆50Updated 4 years ago
- Model-Based Reinforcement Learning for Highway Environment with MPC Planning: This repository presents an RL framework integrating Model …☆12Updated 2 years ago
- Neural network-based (NN) Model Predictive Control (MPC) algorithm to control a multi-agent system (MAS) with stochastic communication to…☆95Updated 3 years ago
- Python code for implementing a set of basic robust model predictive control (RMPC) algorithms for linear systems.☆26Updated 3 years ago
- Implementation of model predictive control for nonlinear systems via machine learning and function approximators☆56Updated 7 years ago