| 一类非线性系统的神经网络自适应算法研究 |
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| 引用本文： | 苏杭,孙万民,刘红彤.一类非线性系统的神经网络自适应算法研究[J].军民两用技术与产品,2011(3):52-54. |
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| 作者姓名： | 苏杭 孙万民 刘红彤 |
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| 作者单位： | 北京航天试验技术研究所,北京,100074 |
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| 摘 要： | 讨论了神经网络在非线性系统控制中的应用.针对一类典型的非线性系统,基于波波夫超稳定性理论,推导出了保证系统稳定性的神经网络学习算法,设计了神经网络模型参考自适应控制器,以改善非线性被控对象跟踪参考模型输出的跟踪效果,并以此为依据进行了MATLAB仿真.对电弧炉三相电极调节系统的仿真结果表明,这种神经网络自适应控制系统具...
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| 关 键 词： | 非线性系统 神经网络 模型参考自适应控制 |
Research on Neural Network Adaptive Control Algorithm for One Kind of Nonlinear Systems |
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| Su Hang,Sun Wanmin,Liu Hongtong.Research on Neural Network Adaptive Control Algorithm for One Kind of Nonlinear Systems[J].Universal Technologies & Products,2011(3):52-54. |
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| Authors: | Su Hang Sun Wanmin Liu Hongtong |
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| Affiliation: | Su Hang Sun Wanmin Liu Hongtong (Beijing Institute of Aerospace Testing Technology, Beijing 100074) |
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| Abstract: | The application of neural network to nonlinear control systems is discussed here. As for one typical kind of nonlinear systems, the neural network algorithm is derived based on POPOV hyper-stability theory to ensure the stability of the system, and then the neural network model-reference adaptive controller that aims at optimizing the tracing effect of the reference model outputs of the traced nonlinear systems is developed, and accordingly MATLAB simulation is performed. The results which have been achieved by using MATLAB simulation on the model for three-phase electrode regulator system of arc furnace have shown that, the neural network adaptive control system possesses great stability and excellent dynamic performances. |
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| Keywords: | Nonlinear systems Neural network Model-reference adaptive control |
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