indirect controller 中文意思是什麼
indirect controller
解釋
間接控權人- indirect : adj. 1. 間接的，第二手的；迂迴的；曲折的。2. 不直截了當的，不坦率的，不誠實的。adv. -ly ,-ness n.
- controller : n 1 管理人，主管人。2 （會計的）主計人，檢查員；〈英國〉（特指宮廷、海軍等的）出納官〈常作 comptr...
-
An indirect self - adaptive fuzzy - neural network controller ( fnnc ) has been proposed with its parameters and the structure tuned simultaneously by ga in virtue of the powerful optimization property of ga. the structure of the controller is based on the radical basis function ( rbf ) neural network with gaussian membership functions. the performance of the proposed fnnc is compared with a conventional fuzzy - pid controller and the simulation results show that the fnnc presents encouraging advantages
針對神經網路採用一維反向傳播訓練演算法速度較慢且易於陷入局部極小點的不足，設計了一種間接自校正模糊神經網路控制系統，利用遺傳演算法（ ca ）對隸屬度函數的結構和參數進行優化，模擬比較表明該控制比模糊pid控制具有更優的性能。 -
It consists of an indirect adaptive fuzzy controller, which is constructed by modeling the unknown part of system, and adaptive law given by using lyapunov synthesis approach
該方法利用模糊邏輯系統來逼近未知非線性部分。在把逼近誤差看作系統干擾的情況下，給出了模糊系統參數基於lyapunov穩定的基礎上的自適應律。 -
Based on the rule of dew - point indirect measurement, the dew - point control system which consists of a dew - point controller ( single chip microprocessor application system ) and a temperature - humidity sensor can control the work time and regeneration time of a dryer
它的露點測控系統由露點控制器（單片機應用系統）和溫濕度傳感器構成，其露點測量採用了間接測量方法。 -
( 6 ) this dissertation makes a detailed study of the nn based adaptive control of nonlinear dynamic systems. two types of drnn controllers are designed using the experimental samples, which are named the open - loop controller and the close - loop controller respectively. the experimental mechanism is controlled on - line by means of the nn based direct self - tuning control strategy and the nn based indirect adaptive control strategy
6 .本文對基於神經網路的非線性動態系統自適應控制方法進行了深入研究，利用實驗輸入輸出數據離線設計了動態遞歸神經網路開環、閉環控制器，並分別採用基於神經網路的直接自校正控制方法與基於神經網路的間接自適應控制方法對彈性連桿機構實施了在線控制。 -
In addition, protection and display function units are added into this system. on the basis of study about working principle of previous indirect rotor - position detecting techniques, the fuzzy rules with the relation knowledge of - i - is studied in this paper as an approach for sensorless position angle estimation, and the simulation research for control performance and rotor position estimation are carried out. some experimental research on structure of srd controller is well made, and a fuzzy + pid speed controller with tms320f240 as core control unit is designed
研究了srd系統結構，對已有的主電路和驅動電路進行改進，完善了系統的各種保護和顯示等功能；在對已有的無位置傳感器轉子位置檢測原理進行研究的基礎之上，根據sr電機的磁鏈?電流?角度之間的關系，研究了採用模糊規則無位置傳感器檢測方案；對srd系統的控制器結構進行研究，設計採用tms320f240高速信號處理器的fuzzy + pid控制器，研究了fuzzy + pid控制器以及系統運行中的各種保護、顯示、報警等功能的設計思想和實現方法。 -
In order to obtain an optimal estimate of the tilt angle and angle velocity, an indirect kalman filter configuration combining a rate gyroscope sensor and an accelerometer is implemented. because of the extreme nonlinearity of the two - wheeled self - balancing robot, application feasibility of nonlinear system control strategy based on linear approximation method, exact linearization and intelligent control have been investigated. according to robustness, balancing performance and environment adaptability, robust tracking control, linear quadratic regulator and fuzzy model reference learning control are implemented to the velocity controller
針對具有強非線性的前進子系統，論證了基於近似線性化、精確線性化及智能控制的非線性系統控制策略的應用可行性，據此按照不同性能要求設計了三種前進速度控制器:漸近跟蹤魯棒調節器簡單精確，具有良好的干擾抑制能力;二次型最優跟蹤控制器，在耗能最小的條件下，大大提高系統的平衡能力;而基於動態聚焦學習的模糊模型參考學習控制則兼具平衡性能好、環境適應性強、精度高及魯棒性好的優點。 -
It is difficult to design a traditional controller for some nonlinear systems, as some parts of the system are unknown. in this dissertation, the fnn and the traditional controller are combined to design two kinds of fnn adaptive controllers for a class of nonlinear plant. they are stable indirect adaptive controller based on fuzzy basic function network and stable direct adaptive controller based on t - s fuzzy neural network
由於傳統控制器本身的局限，它們在非線性控制系統的設計和應用中存在許多問題，本文將模糊神經網路和傳統控制策略相結合，設計了兩種模糊神經網路自適應控制器：基於模糊基函數網路的間接型穩定自適應控制器和基於t - s模糊神經網路直接型穩定自適應控制器。
分享友人