汽车半主动悬架系统的神经网络控制与仿真

2004 International Conference on Intelligent Mechatronics and Automation, 2004. Proceedings. Pub Date : 2004-08-26 DOI:10.1109/ICIMA.2004.1384186

Rong Yiming, Bao Xiangying

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引用次数: 4

摘要

摘要基于112汽车非线性模型和对角递归神经网络模型，建立了基于神经网络控制与仿真的汽车半主动悬架系统。利用最优控制对该模型进行离线辨识。对该模型进行了神经控制和仿真，并对仿真结果进行了分析和总结。

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An automobile semi-active suspension system using neural network control and simulation

Absrracr Based on the 112 automobile nonlinear model and the diagonally recurrent neural network model, an automobile semi-active suspension system using neural network control and simulation is established. An off-line identification is proceeded on this model using an optimal control. Neural control and simulation are also performed on this model and the simulative results are analyzed and summarized.

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来源期刊

2004 International Conference on Intelligent Mechatronics and Automation, 2004. Proceedings.

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