Decoupling Control Method And Its Simulation Research Of Linear Unknown Multivariable System Based On FNN

The research project in this paper is Robust Adaptive FuzzyDecoupling Control for Uncertain Nonlinear MIMO Systems(NO.01JJY2062) which is supported by Natural Science Foundation of Hunan. Based on the article[7],variable structure fuzzy neural networkand self-adjusting parameter algorithm are used for general unknownlinear MIMO system to enhance the system intelligent.Membershipfunction and fuzzy rules are adjusted by the training of neural networkparameters and structure to enhance the ability of self-learing andself-adjusting fuzzy rules.In addition,with the change of error and errorvariation,scaling factors are adjusted on line. To demonstrate the validity of the plan,many simulations aredone to the same linear MIMO system with article[7].Simulationresults show the system can realize static decoupling and increase theability of resisting disturbance and robustness and enhance itsperformance.