neural switching 中文意思是什麼
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Combining, switching adaptive control and neural network, a new adaptive control algorithm which can adjust continuously is proposed. the tracking and convergence properties of the closed loop are proved
摘要將開關自適應控制與神經元網路相結合，提出了一種新的能連續調整的自適應魯棒控制演算法，給出了其閉環系統的跟蹤收斂性證明。 -
It adopted a bp neural network with a lag factor to identify the counter static model of process and decided parameters of feed - forward control through a model image, adopted a feedback controller that can adjust fuzzy logic according to the changes of object ' s parameters to improve dynamic control effect and adopted a control strategy simulating human intelligence to harmony works of system by switching among each control combination
它採用加滯后因子的bp神經網路辨識對象的靜態逆模型，並通過模型映射直接決定前饋控制的參數；用可隨對象參數變化調整模糊邏輯的閉環控制器配合前饋控制器以改善動態控制效果；用仿人智能控制策略協調系統的操作，在各種組合控制方式之間進行切換。 -
In the chapter 4, the particular network topology and the four training algorithms are designed for the switching state selector in dtc by the neural network control technology, and the learning speed, stability, and weight convergence of the algorithms are discussed and compared
第四章對直接轉矩控制中的開關狀態選擇器用神經網路控制技，術設計了具體網路拓撲結構和四種演算法，並對幾種翼法的學習速度、穩定性、權收斂性進行了比較和研究。
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