Visual demonstration tool for Model Error Compensator (MEC) effectiveness under model uncertainties.
https://blog.control-theory.com/entry/2024/01/21/model-error-compensator-mec
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Visual demonstration tool for Model Error Compensator (MEC) effectiveness under model uncertainties. This animation generator compares closed-loop system performance with and without MEC across multiple reference signals (step, square wave, sine wave) and randomly varied plant parameters.
The tool simulates 10 plants with randomized model errors and generates side-by-side animated comparisons showing how MEC suppresses deviation from nominal model behavior. High-quality MP4 animations and snapshot images are automatically created, displaying time-domain responses, performance metrics, and quantified error reduction percentages.
Perfect for educational demonstrations, research presentations, and understanding MEC robustness principles without complex design procedures. The simple structure with fixed controller and error compensator parameters makes it accessible for students and practitioners to immediately visualize MEC benefits.
Based on research by Okajima et al. (SICE JCMSI 2013, IFAC 2023). Generates publication-ready animations demonstrating average error reduction across different operating conditions. Compatible with MATLAB R2016b and later. Requires Control System Toolbox.
Additional references available at: https://blog.control-theory.com/entry/2024/01/21/model-error-compensator-mec
English
Japanese
Journal articles (domestic)
モデル誤差抑制補償器を用いた既存制御系のロバスト化 (計測と制御)2023
Blog Articles: State Observer and State Estimation: A Comprehensive Guide (covers Kalman filter, H-infinity filter, multi-rate observer, and MCV observer) | System Identification: From Data to Dynamical Models (multirate system identification for model acquisition) | Model Error Compensator (MEC): Enhance the Robustness (combining identified models with MEC for robust control) | MATLAB File Exchange (Author Profile) | Control Engineering Video Portal (500+ videos)
Cite As
Hiroshi Okajima (2026). Model Error Compensator (MEC) for Add Robustness for System (https://www.mathworks.com/matlabcentral/fileexchange/182944-model-error-compensator-mec-for-add-robustness-for-system), MATLAB Central File Exchange. Retrieved .
General Information
- Version 1.0.2 (4.47 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
