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将神经网络 (NN)与内模控制 (IMC)相结合 ,提出了一种用基于BP神经网络的内模控制进行混沌抑制的方法 ,该方法既具有内模控制的特点 ,又引入了神经网络的在线自校正机制。应用所提出的方法 ,针对Duffing振荡器的混沌控制问题进行了仿真研究 ,仿真结果验证了该方法的有效性 ,同时还表明该方法具有很好的鲁棒性与自适应能力。
Combining neural network (NN) with internal model control (IMC), a method of chaos suppression using internal model control based on BP neural network is proposed. This method not only has the characteristics of internal model control but also introduces neural network Online self-correction mechanism. The proposed method is applied to simulate the chaos control problem of Duffing oscillator. The simulation results show the effectiveness of the proposed method and the robustness and self-adaptability of the proposed method.