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Description: 利用MATLAB对神经网络进行编程,用newff()创建两层前向网络。网络输入范围[-1 1]，第一层有10个tansig神经元-using MATLAB right neural network programming with newff () to the creation of a two-tier network. Network input range [-1 1], the first layer 10 tansig neurons
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Size: 5120 |
Author: 龙海侠 |
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Description: 基于径向基函数神经网络迟滞非线性自适应控制
提出了一种新的动态迟滞非线性模型. 将一定数量不同死区宽度的 backlash 模型并行相
加, 作为一个动态系统以仿真执行器中的迟滞特性. 利用该模型, 采用伪控制方法设计了一套具有
未知迟滞特性非线性系统的神经网络自适应控制方案, 通过自适应算法来调整干扰项的上限. 采用
Lyapunov 稳定性理论进行了严格证明, 仿真试验验证了所提方案的有效性.- A nov el class of hysteresis mo dels w as proposed. A cer tain num ber o f different deadband w idth
backlash models are superposed, w hich represents a dynamics to m im ic hysteresis in the actuator. With
the mo del proposed, an radial basis function neural netw ork ( RBFN )-based adaptive control scheme for
nonlinear sy stems w ith unknow n hysteresis nonlinearity w as dev elo ped. The control scheme adopts the de-
sign method of pseudo-co ntro l. Witho ut the assumption of boundedness of disturbance term , it is tuned
thr oug h adaptive algo rithm . The stability is rigidly pr oved v ia Lyapunov theory and the effectiveness of
the pro posed contr ol scheme is illustrated through simulatio n.
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Size: 211968 |
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