Jkparkaist / IE481Links
Data Driven Decision Making and Control
☆17Updated 6 years ago
Alternatives and similar repositories for IE481
Users that are interested in IE481 are comparing it to the libraries listed below
Sorting:
- ☆24Updated 4 years ago
- Python code for implementing a set of basic robust model predictive control (RMPC) algorithms for linear systems.☆26Updated 3 years ago
- Robust and nonlinear Direct Data-Driven MPC controllers for LTI and nonlinear systems in Python☆16Updated 3 weeks ago
- Primal-Dual Policy Learning Simple Example☆15Updated 4 years ago
- Implementation of Deep Q-Network（DQN）and Model Predictive Control, and their evaluation on the Quanser robot platform☆15Updated 5 years ago
- Codes for "Quantitative Comparison of Reinforcement Learning and Data-driven Model Predictive Control for Chemical and Biological Process…☆11Updated last year
- Code repo for ICLR paper: Optimal Control Via Neural Networks: A Convex Approach☆83Updated 6 years ago
- Code to reproduce examples in 'Closed-loop data-enabled predictive control' submitted to CDC 2020☆21Updated 5 years ago
- Code for "Learning Local Control Barrier Functions for Safety Control of Hybrid Systems"☆14Updated last year
- IIB Master's Project: Deep Learning for Koopman Optimal Predictive Control☆48Updated 4 years ago
- Data-driven attitude control design for multirotor UAVs☆19Updated 8 years ago
- Robust MPC for Linear Systems with Parametric and Additive Uncertainty☆26Updated 3 years ago
- code of paper "Robust and kernelized data-enabled predictive control for nonlinear systems"☆17Updated 2 years ago
- Neural Lyapunov control of unknown nonlinear systems with stability guarantees☆15Updated 2 years ago
- Convergent Policy Optimization for Safe Reinforcement Learning☆11Updated 5 years ago
- RobustStabilityGuaranteeRL☆10Updated 6 years ago
- A simple robust MPC for linear systems with model mismatch: Balancing conservatism vs computational complexity☆31Updated 3 years ago
- [Applied Energy] This work proposes an Input Convex LSTM neural network for real-time neural network-based optimization.☆17Updated 5 months ago
- This repository contains the source code for "Stochastic data-driven model predictive control using Gaussian processes" (SDD-GP-MPC).☆65Updated 2 years ago
- DC-TMPC: A tube-based MPC algorithm for systems that can be expressed as a difference of convex functions.☆21Updated 3 years ago
- A Python tool for distributed model-based predictive control of energy suppy chains☆17Updated last year
- By using PLECS and Simulink, the goal of this project is to provide voltage and frequency restoration. The methods will include finite ti…☆12Updated 7 years ago
- This project is source code of paper Deep DeePC: Data-enabled predictive control with low or no online optimization using deep learning b…☆22Updated 10 months ago
- Distributionally Robust Stochastic Model Predictive Control☆12Updated 3 years ago
- 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
- We explore the application of deep reinforcement learning in the field of robotic control, the cooperative and competitive behavior of mu…☆38Updated 5 years ago
- Safe learning of regions of attraction in uncertain, nonlinear systems with Gaussian processes☆39Updated 5 years ago
- Implementation of model predictive control using neural network model.☆25Updated last year
- Tube-certified nonlinear tracking with robust control contraction metrics☆27Updated 2 years ago
- ☆11Updated last year