Adaptive Direct-inverse Control Based on Fuzzy Tree Model
基于模糊树模型的自适应直接逆控制

An adaptive direct-inverse control approach is proposed based on the fuzzy tree model and inverse learning and special learning that are used in neural networks broadly.In this approach,the inverse model of the plant is identified as the initial controller firstly.Then the inverse model is connected to the plant in series and the linear parameters of the controller are tuned by the least mean square algorithm in on-line manner.The controller based on the inverse model obtained by the proposed approach can reduce the fuzzy rules and acquire satisfying tracing control effect.Simulation results have shown the effeteness of the proposed approach.