Classes for control engineering: filtering, fitting, Kalman estimation, PIDs and more topics are expected to be covered :) More...
Collaboration diagram for ctrlLib:
Modules | |
| Adaptive Window Polynomial Fitting Estimator | |
| Implementation of polynomial fitting through a least-squares based algorithm on a adpative window (PDF) | |
| Clustering | |
| Classes for clustering. | |
| Filters | |
| Classes for filtering. | |
| Functions Encoding | |
| Classes for encoding functions. | |
| Kalman Estimation | |
| Classes for Kalman estimation. | |
| Maths | |
| Collection of mathematical functions. | |
| Minimum-Jerk Controller | |
| Classes for Minimum-Jerk Control. | |
| Neural Networks | |
| Classes for neural networking. | |
| Optimal Control | |
| Class for optimal control based on Discrete Algebraic Riccati Equation (DARE). | |
| Outliers Detection | |
| Classes for outliers detection. | |
| PIDs | |
| Classes for PIDs. | |
| Tuning of Compensators | |
| Classes for Compensators tuning. | |
Detailed Description
Classes for control engineering: filtering, fitting, Kalman estimation, PIDs and more topics are expected to be covered :)
