learning control 中文意思是什麼
learning control
解釋
學習控制-
Application of p - type iterative learning control in functional neuromuscular stimulation feedback control for upper limbs
延遲結果反饋對復雜追蹤任務運動技能學習的影響 -
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 -
Iterative learning control with bound input based on backstepping
的迭代學習控制 -
A further study of the dynamic weighing and batching process is made and an iteration self - learning control method is used to dynamic weighing and batching process control. the simulation tests are made and satisfied performances are reached. 4
對動態稱量配料的受控過程作了進一步的研究，將迭代自學習的控制方法應用於動態稱量配料過程式控制制，進行了控制系統的設計和計算機模擬實驗研究。 -
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。 -
Iterative learning control for linear time - invariant descriptor system
線性廣義系統的迭代學習控制 -
Research on the self - learning control based on neural networks
一種神經網路自學習控制結構與演算法 -
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。 -
Using multi - way partial least squares ( mpls ) model integrated with iterative learning control, the final quality control for batch processes is presented
摘要提出了多向偏最小二乘（ mpls ）模型和迭代學習控制相結合的方法，實現間歇過程終點時刻產品質量指標的控制。 -
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。 -
Iterative learning control ( ilc ) is a technique for improving the transient response performance of systems or processes that operate repetitively over a fixed time interval. it refines the next control input using the information such as current control input and error signals after each trial until the specified desired trajectory is followed to a high precision
迭代學習控制針對具有重復運行性質的被控對象，利用對象以前運行的信息，通過迭代的方式修正控制信號，實現在有限時間區間上的完全跟蹤任務。 -
Based on continuous time system, convergence discussion and testifying were made to iterative learning control algorithm under the condition of constraints. then algorithm a and algorithm b that mentioned before are testified that they can be used under the conditions of that controller output has constraints
本文針對這一情況作了討論，基於連續時間系統，對控制器輸出有限制的情況下的迭代學習演算法做了收斂性討論和證明，並且證明了前面提出的演算法a和演算法b可用於控制器輸出有限制情況下的機械手控制。 -
The parameters ' fit of iterative learning control based on neural network
基於神經網路的迭代學習控制參數擬合 -
Iterative learning control is an important branch of intelligent control. the basic method of traditional ilc is to achieve control input based on the previous input and the pid - revised error of previous output. after some iteration, perfect tracking can be achieved over a fixed time interval
迭代學習控制理論是智能控制的一個重要分支，傳統迭代學習的基本方法是，基於上次迭代時的輸入信息和輸出誤差的pid校正項，獲得本次迭代的控制輸入，經過若干次迭代，以期達到在給定的時間區間上實現被控對象以較高精度跟蹤一給定目標軌線。 -
In most of these neuro - fuzzy modeling methods, the anfis ( adaptive - network - based fuzzy inference systems ) method which was proposed by jang in 1993 is the most prominent one, its adaptive property made it possible to be used in adaptive control and learning control directly. in fact, it can replace any neural network of the control systems and carry out the same function. however, it has the same problem as most of the neuro - fuzzy systems - rule explosion problem
在眾多的神經模糊建模方法中，數jang於1994年提出的anfis -自適應神經模糊建模方法最為突出，它的自適應性質使得它幾乎可直接應用於自適應控制和學習控制；事實上，它可以替代控制系統的任意神經元網路並執行同樣的功能。 -
This study starts with a theoretical model of the algorithm of basic iterative learning control and presents a mathematical development, thus completing the numerical simulation of the algorithm in the matlab software
對于以固定頻率振動的系統，其運動具有高度重復性以及強周期性，因此迭代學習控制對于振動主動控制來說具有很大的適用性。
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