Open AccessFuzzy predictive functional control of a class of non‐linear systems
Author(s) -
Wang Bin,
Yang Lan,
Wu Fengjiao,
Chen Diyi
Publication year - 2019
Publication title -
iet control theory and applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.059
H-Index - 108
eISSN - 1751-8652
pISSN - 1751-8644
DOI - 10.1049/iet-cta.2018.5903
Subject(s) - control theory (sociology) , model predictive control , fuzzy logic , fuzzy control system , computer science , class (philosophy) , control system , transfer function , mathematics , control engineering , control (management) , artificial intelligence , engineering , electrical engineering
This study investigates a fuzzy predictive functional control scheme of a class of non‐linear systems. According to the Takagi–Sugeno fuzzy model, a fuzzy prediction model of the presented non‐linear system is given. Also, the fuzzy prediction model is transformed into the transfer function model. Then, a novel fuzzy predictive functional control scheme is proposed for a class of non‐linear systems by combining the multi‐variable centralised control and predictive functional control. The rigorous theoretical derivation is presented to ensure the stabilisation of the non‐linear systems. Two representative cases, including the three‐dimensional brushless DC motor and the 4D Chen system, are implemented to confirm the validity and superiority compared with an existing pure fuzzy control method.