The following repo shows some theory of applied Artifical Intelligence to control different kind of systems. This was made with porpuse to share knowledge about this interesting topics;
All codes were made in Matlab with its tools of fuzzy logic, neural Networks and simulink, some of them were written in python with the help of libraries like tensorflow. Feel free to send me a pull request or an issue to improve the code.
All exercises were proposed by the professor Helbert, I just find and implement the solutions in this repo.
- Design and Control of systems based on automatisms
- Control Systems based on automatisms
- Control Systems based on boolean relations
- Design and Control of Fussy Systems
- Neural Networks
- Time series and Neural Networks
- Neural Networks and Image Processing
- Neural Networks and Modeling of dynamic systems
- Predictive Neural Control
- Neural Control NARMA L2
- ANFIS
- ANFIS and Time series
- Magnetic Levitation Control
- Inverted Pendulum Control
- For each topic shown above there is an application
Teacher at Universidad Distrital has contributed with his teachings and workshops.