机译:智能全局滑模控制使用反复功能选择神经网络用于有源电力滤波器
Hohai Univ Coll IOT Engn Nanjing 210098 Peoples R China|Hohai Univ Jiangsu Key Lab Power Transmiss & Distribut Equip Nanjing 210098 Peoples R China;
Hohai Univ Coll IOT Engn Nanjing 210098 Peoples R China|Hohai Univ Jiangsu Key Lab Power Transmiss & Distribut Equip Nanjing 210098 Peoples R China;
Hohai Univ Coll IOT Engn Nanjing 210098 Peoples R China|Hohai Univ Jiangsu Key Lab Power Transmiss & Distribut Equip Nanjing 210098 Peoples R China;
Active filters; Feature extraction; Uncertainty; Sliding mode control; Artificial neural networks; Current control; Active power filter (APF); global sliding mode control (GSMC); neural network (NN); recurrent feature selection neural network (RFSNN);
机译:经常性神经网络分数级滑动模式控制的实验研究
机译:双隐层复制神经网络分数级滑动模式控制分流有源电力滤波器
机译:基于递归扰动模糊神经网络的智能动态滑模神经控制
机译:基于分数阶的有源电力滤波器递归神经网络全局滑模控制
机译:基于自适应径向基函数神经网络的实时谐波估计和有源电力滤波器的PWM控制
机译:间接智能滑模控制的形状记忆合金致动的柔性梁的迟滞回归神经网络
机译:间接智能滑动模式控制形状记忆合金致动柔性束的旋转性复发神经网络