Design of Fuzzy Neural Network Controller Based on Chaos Neural Network Forecast Model and Application
基于混沌神经网络模型的预测控制器的设计及应用

In order to realize adaptive control of nonlinear big-lagged system, First, a chaotic attractors space is reconstructed, space embed dimension is calculated by the nonlinear big-lagged system chaos time series in this paper. By above all, a chaos neural network model is constructed, which can make high precision short-term forecast for the system even by imperfect and variation inputs. On the basis of this, a fuzzy-neural forecast controller is designed and robust adaptive control to the nonlinear big-lagged chaos system is realized. Last, the controller is applied to units load system, the validity, the high-speed and the robustness are proved by simulate results.