loop learning 中文意思是什麼
loop learning
解釋
單環學習-
At the same time, the diophantine matrix equation is closed, which has strengthen the velocity of control, so the rapid system ' s control is got ; in addition, because the synthesis solution with artificial intelligence technology and adaptive control technolo - gy together is adopted, the whole loop system ' s ability of learning and adaptation is strong and the system ' s intelligence level is impro - ved, so the robustness ability is got
因此加快了控制速度，較好地解決了控制系統的快速性問題；另外加之此控制方案採用了人工智慧技術和自適應控制技術相結合的方法，增強了整個閉環控制系統的學習能力和自適應能力，提高了系統的智能水平，從而使閉環系統具有了強魯棒性的特點。 -
Neural network control is an important mode of intelligent control, and it is widely used in branches of control science, first, the architecture and the learning rule ( error back propagation algorithm ) of multiplayered neural network which is widely used in control system are presentedo especially, the paper refers to the architecture of diagonal recurrent neural network and its learning algorithm - - - - - recurrent prediction error algorithm because of its faster convergence with low computing costo next, before introducing the neural network control to the double close loop dc driver system, the controllers of current and velocity loop are designed using engineering design approach after analysis of the system, simulation models of the system are created
神經網路控制是智能控制的重要方式之一，它廣泛應用於自動控制學科各個領域。本文首先敘述了控制系統中常用的多層前饋網路結構及演算法（ bp演算法） ，特別提及了能夠較好描述系統動態性能的對角遞歸神經網路和在用遞推預報誤差演算法訓練drnn時取得了較快的收斂速度。其次，應用工程方法分析設計了tf - 1350糖分離機的電流、轉速雙閉環直流調速系統的控制器，作為引入神經網路控制的設計基礎，並建立了系統的模擬模型。 -
Single - loop learning
單圈學習 -
Double - loop learning
雙圈學習 -
Single loop learning
單環學習 -
Abstract : iterative learning control is an effective approach to the control of processes that are repetitive in nature. in this paper, an open - closed - loop pi - type iterative learning control scheme for the precise tracking control of a class of discrete nonlinear time - varying systems over a finite time interval is presented. the scheme updates control input with tracking errors of both current and last iterations simultaneously. sufficient and necessary conditions which guarantee the convergence of the scheme are given and then proved with inductive method. finally, the conditions are verified with simulation results
文摘:對于具有重復運動性質的對象，迭代學習控制是一種有效的控制方法.針對一類離散非線性時變系統在有限時域上的精確軌跡跟蹤問題，提出了一種開閉環pi型迭代學習控制律.這種迭代律同時利用系統當前的跟蹤誤差和前次迭代控制的跟蹤誤差修正控製作用.給出了所提出的學習控制律收斂的充分必要條件，並採用歸納法進行了證明.最後用模擬結果對收斂條件進行了驗證
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