Intelligent-Control-Systems-Course-Curriculum
Version 1.0.1 (22.5 MB) by
Claudia Fernanda Yasar
This package introduces MATLAB Live Scripts for the Intelligent Control Systems Curriculum. Includes model-based vs. data-driven control
Cite As
Claudia Fernanda Yasar (2024). Intelligent-Control-Systems-Course-Curriculum (https://github.com/ClaudiaYasar/Intelligent-Control-Systems-Course-Curriculum), GitHub. Retrieved .
MATLAB Release Compatibility
Created with
R2022b
Compatible with any release
Platform Compatibility
Windows macOS LinuxTags
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Create scripts with code, output, and formatted text in a single executable document.
3. Single-Heater-Response
5. Coastline-Prediction-Using-Climate-Change-Models
9. Python-and-MATLAB-RNN-LSTM-Model-for-Prediction-and-Forecast
10. Model Predictive Control for DC Motor Positioning
11. Model-Reference-Adaptive-Control
12. Extremum-Seeking-Control-Mass-Spring-Damper-System
13. DC-Motor-Position-with-Fuzzy-Logic-Control
2. DC-Motor-Dynamics-Modeling-and-Position-Control
3. Single-Heater-Response
1.Computational_Thinking_Tools
10. Model Predictive Control for DC Motor Positioning
11. Model-Reference-Adaptive-Control
12. Extremum-Seeking-Control-Mass-Spring-Damper-System
13. DC-Motor-Position-with-Fuzzy-Logic-Control
2. DC-Motor-Dynamics-Modeling-and-Position-Control
3. Single-Heater-Response
4. First-Order-Plus-Dead-Time-Models
5. Coastline-Prediction-Using-Climate-Change-Models
6. Semi-Empirical-Model-Estimation-Regression
7. Machine-Learning-Classification-with-Experiments
8. Deep Learning and Yolov2 for Object Classification
9. Python-and-MATLAB-RNN-LSTM-Model-for-Prediction-and-Forecast
Versions that use the GitHub default branch cannot be downloaded
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1.0.1 | NA |
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1.0.0 |
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To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.