Constrained Fuzzy Model Identification - Files for Fuzzy Modeling and Identification Toolbox
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
Cita come
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. Recuperato .
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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/
Versione | Pubblicato | Note della release | |
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1.0.0.0 |