A multivariable generalized predictive control approach based on T-S fuzzy model
نویسندگان
چکیده
In this paper, the Takagi–Sugeno (T–S) fuzzy model is used to express dynamic systems, and an on-line identification algorithm for its parameters and structures is presented. A new multivariable fuzzy generalized predictive control approach is put forward based on the identified fuzzy model by means of Clark’s principle of single-variable generalized predictive control, some of whose performances are analysed in detail. A simulation study of the multivariable load system of electric generating unit shows that the approach is superior to conventional load control systems.
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ورودعنوان ژورنال:
- Journal of Intelligent and Fuzzy Systems
دوره 9 شماره
صفحات -
تاریخ انتشار 2000