Fuzzy Model Identification for Control

Version 1.0.0.0 (1,25 MB) von Janos Abonyi
Several applications of fuzzy modeling
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Aktualisiert 14. Jul 2014

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MATLAB implentations of my book Fuzzy Model Identification for Control which was published in 2003.
The book present new approaches to the construction of fuzzy models for model-based control. New model structures and identification algorithms are described for the effective use of heterogeneous information in the form of numerical data, qualitative knowledge, and first principle models. The main methods and techniques are illustrated through several simulated examples and real-world applications from chemical and process engineering practice.

More information about the book at:
http://www.abonyilab.com/books/fmbook

Zitieren als

Janos Abonyi (2024). Fuzzy Model Identification for Control (https://www.mathworks.com/matlabcentral/fileexchange/47204-fuzzy-model-identification-for-control), MATLAB Central File Exchange. Abgerufen.

Kompatibilität der MATLAB-Version
Erstellt mit R14SP1
Kompatibel mit allen Versionen
Plattform-Kompatibilität
Windows macOS Linux

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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/

Version Veröffentlicht Versionshinweise
1.0.0.0