Constrained Fuzzy Model Identification - Files for Fuzzy Modeling and Identification Toolbox

版本 1.0.0.0 (1.8 MB) 作者: Janos Abonyi
Can be used for estimation of the consequent model parameters
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更新时间 2014/7/8

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The Fuzzy Modeling and Identification (FMID) toolbox is a collection of Matlab functions for the construction of Takagi--Sugeno (TS) fuzzy models from data. The proposed extension is a collection of functions that can be used for estimation of the consequent model parameters. As only the weights of the fuzzy rules, the consequent input variables, and the desired model output are needed for the determination of the consequent parameters, the presented functions can be used independently from the FMID toolbox. Moreover, by setting the number of rules to one, the toolbox is suitable for constrained identification of linear models.

It is also described in:
J. Abonyi, R. Babuska, H. B. Verbruggen, F. Szeifert, Incorporating prior knowledge in fuzzy model identification, Int. Journal of Systems Science, 31(5), 657-667, 2000

More MATLAB implementation on my website:
http://www.abonyilab.com/software-and-data

引用格式

Janos Abonyi (2024). Constrained Fuzzy Model Identification - Files for Fuzzy Modeling and Identification Toolbox (https://www.mathworks.com/matlabcentral/fileexchange/47171-constrained-fuzzy-model-identification-files-for-fuzzy-modeling-and-identification-toolbox), MATLAB Central File Exchange. 检索来源 .

MATLAB 版本兼容性
创建方式 R2007a
兼容任何版本
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A3_Distill/

E2_1_TS_Siso/

E2_2_Ruspini/

E2_3_MMF/

E3_1_ZO_PH/

E3_2_Hamm/

E3_3_HFCM_PH/

E4_10_MMF_PH/

E4_11_HFCM_WH/model_analysis/

E4_11_HFCM_WH/model_simulation/

E4_13_FH_WH/

E4_2_Hamm(cont)/

E4_3_Mimodest/

E4_6_PriorLiq/

E4_8_BoxJenkins/

E4_9_MMF/

E5_1_MMF_PH/

E5_1_MMF_PH/pid/

E5_2_IMC_Liq/

E5_3_MPC_Appl/

Fuzztions/

A3_Distill/

E3_3_HFCM_PH/

E4_10_MMF_PH/

E4_11_HFCM_WH/model_analysis/

E4_11_HFCM_WH/model_simulation/

E4_13_FH_WH/

E4_3_Mimodest/

E5_1_MMF_PH/

E5_1_MMF_PH/pid/

E5_2_IMC_Liq/

E5_3_MPC_Appl/

版本 已发布 发行说明
1.0.0.0