B-spline based repetitive neurocontroller
A numerical experiment described in http://dx.doi.org/10.1109/TIE.2007.909064 [*] is reproduced here. In [*] the forgetting mechanism is employed to robustify the control scheme. By contract, in http://dx.doi.org/10.1109/IECON.2013.6700120 [**] weight constraints are used instead of forgetting and that turns out to robustify the controller. Hence, the same idea has been tested also in the B-spline based repetitive neurocontroller proposed in [*]. To be clear, I haven't invented the controller introduced in this model. I've just modified the robustification mechanism used in [*]. You can play here with both mechanisms and decide for yourself which one of them is more suitable for your application. You can even combine them. It should be noted that [**] uses a global update rule and not necessarily the same robustification mechanisms are equally effective in both controllers. For more information please see m-files and our conference paper: M. Malkowski, B. Ufnalski and L. M. Grzesiak, B-spline based repetitive controller revisited: error shift, higher-order polynomials and smooth pass-to-pass transition, ICSTCC 2015, http://ufnalski.edu.pl/proceedings/icstcc2015/ .
引用格式
Bartlomiej Ufnalski (2024). B-spline based repetitive neurocontroller (https://www.mathworks.com/matlabcentral/fileexchange/49023-b-spline-based-repetitive-neurocontroller), MATLAB Central File Exchange. 检索来源 .
MATLAB 版本兼容性
平台兼容性
Windows macOS Linux类别
标签
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!版本 | 已发布 | 发行说明 | |
---|---|---|---|
1.1.0.0 | M. Malkowski, B. Ufnalski and L. M. Grzesiak: B-spline based repetitive controller revisited: error shift, higher-order polynomials and smooth pass-to-pass transition. ICSTCC 2015, http://ufnalski.edu.pl/proceedings/icstcc2015/ .
|
||
1.0.0.0 |