Fuzzy system identification and predictive control of load system in power plant

We use the T-S fuzzy model to express dynamic systems, and present an online identification algorithm for its parameters and structures. A 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 analyzed in detail. A simulation study for the multivariable load control system of an electric generating unit shows that the approach is superior to a conventional load control system.