A Report on Model Predictive Control Implementation
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Updated
May 9, 2018 - MATLAB
A Report on Model Predictive Control Implementation
Converts images into a DMC cross stitch pattern, with auto colour matching and progress tracking.
Model Predictive Control (MPC)
JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"
Dynamic Matrix Control from scratch in Python
This algorithm calculates the zero-point energy of a molecular system by monte-carlo sampling the system's potential energy surface.
Magento 2 Performance Module enables some optimizations and tweaks to speed up installations. Database reports and customer logging will be disabled. A whitelist image ID cache generator will enable faster generation.
A simple Python scraper and the resulting CSV file, which contains color codes for each of the DMC embroidery floss colors.
Save editor for the PC/Switch version of Devil May Cry
The right datagrid for Dash when using Dash Mantine Components based on https://www.mantine-react-table.com.
Render markdown into a dash app
Galil Motion Control DMC syntax highlighting for Microsoft Visual Studio Code
Benchmark data (i.e., DeepMind Control Suite and MuJoCo) for RL.
A cross-stitch image generator. Generates a cross stitch pattern given by a user and generates a DMC colored pattern.
🚀 DMCode - like a deploy my code. Allows you to upload your code to an ftp server without any ftp-clients.
This is an example of a DMC implementation. In this project we use the singleton design pattern and use a basic thread-locking protection (double checked locking).
Model Predictive control is used in Industries across varied processes for ensuring control of target variables while manipulating inputs. We try to explore different paradigms of such control infrastructures to add stability and improve convergence on a multivariable system
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