| 具有饱和非线性输入的一类混沌系统自适应神经网络控制 |
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| 引用本文： | 梅建东,赵婷婷,钱荣华.具有饱和非线性输入的一类混沌系统自适应神经网络控制[J].扬州职业大学学报,2013,17(1):35-38. |
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| 作者姓名： | 梅建东 赵婷婷 钱荣华 |
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| 作者单位： | 扬州职业大学,江苏扬州,225009 |
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| 摘 要： | 针对一类具有饱和非线性输入的混沌系统,基于RBF神经网络的逼近能力提出一种控制方案。该方法利用自适应控制和鲁棒控制,使系统可在模型函数和外扰未知下,设计出结构简单有效的控制器,有效消除了现实中由于饱和非线性输入的存在而引起的控制器抖动的不良控制效果。仿真结果表明了所提控制方法的可行性。
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| 关 键 词： | 混沌系统 饱和 非线性输入 神经网络控制 自适应控制 |
Adaptive Neural Network Control for a Class of Uncertain Chaotic Systems with Saturation Nonlinearity Input |
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| MEI Jian-dong
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ZHAO Ting-ting
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QIAN Rong-hua.Adaptive Neural Network Control for a Class of Uncertain Chaotic Systems with Saturation Nonlinearity Input[J].Journal of Yangzhou Polytechnic College,2013,17(1):35-38. |
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| Authors: | MEI Jian-dong ZHAO Ting-ting QIAN Rong-hua |
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| Institution: | (Yangzhou Polytechnic College,Yangzhou 225009,China) |
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| Abstract: | Based on the approximation capability of radial basis function neural networks （ RBF NN） , an a- daptive control scheme is proposed for a class of uncertain chaotic systems with saturation nonlinearity input in this paper. Using the adaptive control and robust control, a controller of simple structure and availability is developed under the condition that both model functions and disturbances are unknown. The controller eliminates the chattering in the controlling for the existence of saturation nonlinearity input. Simulation results demonstrate the effectiveness of the proposed approach. |
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| Keywords: | chaotic systems saturation nonlinear input neural network control adaptive control |
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