learning control system 中文意思是什麼
learning control system
解釋
學習控制系統-
The iterative learning control has been raised as a new control concept. by correcting the current control command using the previous system error data instead of the exact system parameters, iterative learning control can effectively suppress the vibration of the highly periodic system
迭代學習控制不需知道系統的具體動力學參數，只要系統運動具有一定周期性，它便能利用系統先前的控制經驗和輸出誤差來修正當前的控制信息，從而達到良好的控制效果。 -
Fuzzy model reference learning control for anti - lock braking system
模糊建模與控制 -
According to the specifications of the dynamic weighing and batching process control in concrete batching plants, the iteration self - learning control method is applied for a real work. a weighing and batching computer control system of concrete batching plants is made, which includes hardware and software
針對混凝土攪拌裝置的稱量配料控制要求，將迭代自學習的控制方法應用於實際工程中，進行了混凝土攪拌裝置的稱量配料計算機控制系統的設計，包括硬體和軟體。 -
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。 -
An autonomous control system with learning behavior, including
：具學習能力之自主性控制系統，包括 -
Iterative learning control for linear time - invariant descriptor system
線性廣義系統的迭代學習控制 -
It possesses not only the self - learning ability and adaptability, but also the function of self - adjusting factors. based on fuzzy set, neural network theory, the fuzzy control model and fuzzy neural network control model of multi variable system are presented. based on the automatic core - welding line of shop floor control system in yangzhou radiator plant computer integrated manufacturing system ( ys - cims / sfcs ), the fuzzy logic theory was applied to the controlling device and established the main heating room fuzzy temperature controller and finally was put into practical use
本文採用了基於神經網路技術的智能pid控制策略，設計了一類具有自學習和自調整比例因子功能的神經元網路自適應pid控制器的結構及演算法；為解決結構不確定性的復雜多變量系統的控制，基於模糊集及模糊系統、神經網路理論，建立了多變量系統的模糊控制模型及模糊神經網路控制模型；針對揚州水箱廠計算機集成製造系統車間管理與控制系統（ ys - cims sfcs ）中的實際工程問題，設計和開發了散熱器芯子烘焊自動線主烘腔溫度模糊控制器，解決了生產中長期存在的老大難問題，提高了產品質量，降低了單產能耗。 -
The feedback control is introduced to compensate effects of both errors of identification and iterative learning, so the control system can get better robustness and control precision
在此引入反饋控制是為了補償辨識和迭代學習的誤差，以增強被控系統的魯棒性，提高控制精度。 -
Finally, a feedback control system of neural network was designed and a special learning method was produced to train the neural network which was applied in the non - linear model of semi - active suspension. the result of test showed ride comfort and handling was improved preferably after the control, and the semi - active suspension system harmonized the vehicle performance with the controller
最後，設計了神經網路反饋控制系統，採用一種特殊學習（直接學習）方法對其進行訓練，並將其應用於半主動懸架非線性模型的模擬驗證，通過對多種路面激勵輸入條件下的模擬分析表明：該神經網路反饋控制系統可以較好地提高車輛的乘坐舒適性和操縱穩定性，採用這種神經網路反饋控制的半主動懸架，可以較好地協調車輛性能。 -
So the automatic description management and the references self - adjusted control can be realized. in this paper, efforts are made to real ize the optimization of description on line by introducing the learning link. in this paper, the construction, basic function, hardware and software compositions and practicing scheme of the tobacco re - dryer intelligent control system are discussed systematically
本文系統地論述了煙葉復烤機智能控制系統的構成、基本功能、硬體結構、軟體結構及實施方案；詳細介紹了具有自學習功能的配方管理子系統、基於模糊數模型的參數自調整子系統以及用工控組態軟體citect5 . 21開發的煙葉復烤機監控系統的設計和實現方法。 -
Being a local approximating neural network, cerebellar mode arculation controller ( cmac ) has the distinctive ability of disposing nonlinear mapping and building nonlinear relationship. the paper proposes a cmac - based control scheme in which learning and controlling are alternately processed. the method is applied to the ac servo control system and obtain high quality output
作為局部逼近神經網路之一的小腦模型關節控制器（ cmac ）對處理非線性映射、建立非線性關系具有獨特的優點，本文將cmac應用於交流伺服電動機系統的控制，採用邊學習邊控制的工作機制，取得了良好的實驗結果。 -
The control theory of chaotic dynamical system mainly contain learning control with distal teacher, adaptive state feedback control, sliding - mode synchronous control and passive equivalence control, with which we can realize the stable control of chaotic system
針對連續混沌動力學系統，採用遠程學習控制、自適應狀態反饋控制和滑動模態同步控制以及等效無源控制等控制策略，實現連續混沌動力學系統的快速穩定。 -
The dynamic weighing and batching process of a burden system is studied in this thesis. an iteration self - learning control method is proposed. the control system is designed and the simulation experiments are made
本文從工程實際出發，對配料稱重系統中的稱量配料過程進行了研究，提出了迭代自學習控制方法，進行了控制系統的設計和模擬實驗研究。 -
The iteration self - learning control method is used to design a real project according to the specifications of the weighing and batching control hi a concrete batching plant and a weighing and batching computer control system is made
針對混凝土攪拌裝置的稱量配料控制要求，將迭代自學習的控制方法應用於實際工程中，進行了混凝土攪拌裝置稱量配料計算機控制系統的設計。 -
The simulation results prove that the control system has perfect decouple and self - learning control performance for multi - variable strong - coupled time - varying deaerator water level control system
模擬結果表明，該控制系統對多變量強耦合的除氧器水位控制對象具有良好的解耦性能和自學習控制特性。 -
In the constructing of the diagnosis module using the technology of the combination of the fuzzy logic and neural network, which based on the fuzzy adaptive learning control network, a simple kind of capable method for consummate the structure and performance of network is introduced, which includes the rules extraction based on the maximum weights matrix and the parameters amendment based on genetic algorithm by floating - point coding. during the monitoring of the parts condition, the output of the condition monitoring system shows the good working condition of the executing agency by fuzzily deducing from the control instruction send by the auv ' s controller and motion status, and so offers the proof to complete mission and return safely
在珍斷模塊建模中採用模糊邏輯與神經網路結合的技術，以模糊自適應學習控制網路為核心，提出了一種簡單可行的基於最大權值矩陣的規則提取及基於浮點數編碼的遺傳演算法的參數調整的，完善網路結構與性能的方法，並在狀態監測過程中，通過對由控制器輸入的水下機器人運動控制量以及運行狀態的模糊推理，得到執行部件（推進器或舵）的工作狀態優劣程度，為保證水下機器人完成任務，安全返回提供控制依據。 -
High resolution digital smps becomes the hotspot in the power supply field. more and more attention has beed payed to how to realize high resolution digital smps, and it has already taken a long step develop. improving the resolution of digital smps by new techniques becomes a forever topic. under the learning of the status and develping trend of smps, considering the practical requirement of task, a control system of smps implemented by microcontroller with high resolution, high speed, high integration is carried out. by combining the embedded system and power electronics, it is discussed that a high resolution smps ’ s output voltage with 0. 01 % resolution pwm wave output, in the basis of microcontroller, and the pwm wave double modulation arithmetic
不斷用新技術手段實現數字開關電源的高精度是一個永恆的話題。經過了解國內外開關電源的發展現狀和發展趨勢，結合實際課題的要求，提出了使用高精度、高速度、高集成度的微控制器組成開關電源的控制系統。討論了將嵌入式系統與電力電子結合，在微控制器硬體基礎上通過軟體pwm波雙調制演算法輸出高精度pwm波，實現開關電源輸出電壓的萬分之一精度的方法。 -
In this paper, the upper - class intelligent control scheme is adopted according to the characteristics of tobacco re - dryer and the present control condition in order to solve the problem that the output tobacco moisture can ? keep stable. that is, to keep the old every pid control link, to add the upper - class computer so that sets up the upper - class intelligent control system that consists of the description management sub - system, the fuzzy compensation on line sub - system and the self - learning system. the following are control procedure : first of all, a series of output values of description can be obtained by the forward inference of basic controller on the basis of the information of input tobacco, then, these output values can be adjusted by the fuzzy compensation controller with inquiring the fuzzy control - list on line in the light of the output tobacco moisture error
本文針對烤機的工藝特點和目前控制現狀，提出用上位智能控制的方法解決烤機目前存在的問題，即在保留原有各段pid控制的基礎上，增加上位計算機，建立起由配方管理子系統、模糊在線修正子系統和自學習系統組成的上位計算機監控、決策的智能控制系統；控制過程為：基本配方控制器根據來料信息正向推理提供煙葉復烤機各段參數設定值的基值；模糊補償控制器根據煙葉水分偏差在線查詢模糊控製表提供相應參數設定值的修正值，實現煙葉復烤機參數的在線修正；學習環節的引入實現煙葉配方的在線優化。 -
Two fuzzy neural network control systems are designed : fuzzy neural network self - learning control system and fuzzy neural cell complex control system
分別設計了模糊神經網路自學習控制和模糊單神經元復合控制系統，並進行了計算機模擬。 -
In the neural networks control, the structure and the working principle of the cerebella model articulation controller ( cmac ) are discussed firstly, and then based on the mutual supplements and the similarities between fcmac and fuzzy logic, fuzzified cerebella model articulation controller ( fcmac ) is proposed. the learning control system based fcmac are introduced in detail. through the example of fcmac used in the swinging up a pendulum control, the excellent control effects are demonstrated
在神經網路控制方面，本文主要研究了小腦模型關節控制器（ cmac ） ，並進而根據cmac與模糊邏輯的互補性與相似性，提出了模糊小腦神經網路控制器（ fcamc ） ，詳細討論了fcmac的學習控制系統與fcmac的自學習機理，通過fcamc對倒單擺控制的具體例子表明， fcmac控制具有優良的控制效果和強的魯棒性。
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