Project by Sofiia Serhiienko: Software development for advanced controller design

Model Predictive Control (MPC) is a sophisticated technique that optimizes complex processes to achieve optimal performance, taking into account economic, environmental, and energy efficiency factors. To program an MPC controller, we require a mathematical model that describes the system's behavior, an objective function, and constraints. While the MPT Toolbox offers a convenient problem preparation tool, it lacks a built-in library of models. However, finding a suitable mathematical model for verifying theoretical concepts can be time-consuming and challenging.

Our goal was to develop a software package called Moli that provides users with a range of mathematical models. This tool empowers researchers and students to quickly select the most suitable model for their needs, reducing the time and effort required.

For additional details, please refer to the link below.

Software development for advanced controller design
Contribute to xsergienko/moli development by creating an account on GitHub.

Our toolbox's code will be available soon. If you can't wait to get your hands on it, scan the QR code to leave your contact information and we'll be in touch as soon as possible.