adaptive control systems 中文意思是什麼
adaptive control systems
解釋
適應性控制系統-
Backstepping - based adaptive control and synchronization of chaotic systems
一類二維離散混沌系統在不同系統參數下的自適應混沌同步 -
In this paper, fuzzy pid controller based on t - s model has been studied. due to lacks of criterion of optimization and excessive tuning parameters, the adaptive genetic algorithm with variable cross and mutation probability is used to optimize the parameters and the performance of control systems is improved. firstly, based on modified pid - flc with four fuzzy rules, scaling factor and the fuzzy consequent parameters are optimized by aga with multiple performance indexes respectively
本文主要研究基於t - s模糊模型構成推理形式的模糊pid控制器，針對以往的模糊pid控制沒有統一的參數整定的準則及大量的待整定參數，本文採用具有動態交叉、變異概率的自適應遺傳演算法（ aga ）優化控制器的待定參數，改善了系統的控制性能。 -
In the respect of neural networks control for non - linear and uncertain system, a review of some available control strategy is made. combining neural networks control and conventional control strategy supervised learning, no supervised learning and reinforcement learning neural networks self - studying and adaptive control systems for ship course control are proposed. the thesis studies particularly their characteristics
在非線性和不確定性系統的神經網路控制方面，論文總結了一些現有的神經網路自學習控制系統，然後將神經網路和常規控制（例如pid控制、自適應控制、內模控制等）結合起來，根據船舶操縱的特點，詳細研究和分析了有監督學習、無監督學習和再勵學習的船舶航向神經網路自學習型自適應控制系統。 -
5. the control systems of the heater are designed by the adaptive fuzzy neuron control arithmetic. the step response curve is got. the results show their nice performances
針對實驗室電加熱爐系統，使用自適應模糊單神經元控制演算法進行控制系統的設計，得出階躍響應曲線，取得了滿意的控制效果。 -
One of the important prerequisites for nn to approximate the nonlinear function f ( x ) is the states x of the system should be in a compact set. therefore, the unkown unlinear systems can be expressed by nn and a model error e ( x ), and there exists a positive constant 6 such that e ( x ) < 8. so the problem can be incorporated into robust adaptive control
神經網路可以逼近非線性函數f （ x ）的一個重要前提是x必須落入某一緊集s中，因此在一緊集u上，未知的非線性系統就可以用神經網路及一建模誤差項（ x ）表示出來，且存在一正的常數，使得（ x ） ，從而這一問題可以歸結到魯棒自適應控制中。 -
Investigation on adaptive control design of infinite - dimensional systems
關于無限維系統自適應控制器設計的研究 -
This paper considers the ilc from an adaptive control viewpoint. two kinds of new algorithm are proposed for ilc of essential nonlinear systems, which avoid some drawbacks and restricted assumptions of traditional ilc, based on lyapunov stability theory and backstepping technique of nonlinear system
本文利用自適應理論設計迭代學習控制，基於lyapunov穩定性理論，結合本質非線性系統的backstepping設計方法，提出了兩類本質非線性系統的迭代學習控制新演算法，這些演算法克服了傳統迭代學習控制的許多缺陷，放鬆了傳統演算法的一些限制性假設。 -
There are many plants that have the character of time - varying, large delay, large inertia in the process of production of modern power station such as the superheated steam temperature, the reheated steam temperature, the water treatment of boiler and the load regulation. some of them have the strong character of nonlinear and some of them are multivariable coupling systems it is very difficult to obtain good effect of control by conventional pid control. it is necessary to set up the mathematics models of controlled plants if applying control means of modern control theory such as self - adaptive control, optimal control ， decoupling control and predictive control. and these control systems have large calculation and bad character of real time in general. these disadvantages make them be not able to meet the need of real production process and limit the application of them in modern power station. now the generator units are developing towards large capacity and high parameters. many new kinds of generating electricity means are coming into being. the characers of production units of power station become more and more complex but the demand to quality of control becomes more and more strict. the new control means are in bad need to control them effectively
現代電站的生產過程中存在過熱汽溫、再熱汽溫、鍋爐水處理、負荷調節等許多大遲延、大滯后、特性時變的對象，它們中有些還是具有強非線性特性的對象或多變量耦合系統，採用常規的pid控制手段很難取得良好的控制效果。若應用現代控制理論中的自適應控制、最優控制、解耦控制、預測控制等控制手段，則需要建立被控對象的數學模型，而且往往控制系統的計算量大、實時性差。這些缺點使其很難滿足實際生產過程的需要從而極大地限制了其在現代電站中的應用。 -
Road vehicles - adaptive cruise control systems - performance requirements and test procedures
道路車輛.自適應車速控制裝置.性能要求和試驗方法 -
Adaptive control of a class of nonlinear systems
基於校正函數的一類具三角結構的非線性系統的自適應控制 -
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。 -
- - introduction of the problem there are several kinds of control designs for nonlinear adaptive system. for two concrete examples of nonlinear continuous systems and nonlinear discrete systems, this thesis obliterate the key obstacle that is encountered when solving the problem of adaptive control by nn
非線性自適應控制有各種各樣的控制方案，本文針對非線性連續時間系統及非線性離散時間系統，具體到兩個實際的例子，解決了利用神經網處理自適應問題所遇到的一關鍵性障礙。 -
( 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。 -
The result shows that this kind of adaptive control method has robust performance to a great extent because of the special dynamic compensation for external disturbance in these two systems. lastly, this dissertation introduces the main development techniques used for exploring distributed 3d flight platform which can validate advanced flight control laws in theory and method. based on windows 2000 / xp os ( operation system ), it synthetically applies real - time simulation arithmetic of control system, oop ( object oriented program ) development technique, tcp / ip protocol - based net - communication technique and api development technique of 3d virtual reality opengl to exploring the distributed simulation platform with friendly a
本文對于驗證先進飛行控制理論的分散式三維飛行模擬平臺主要開發技術進行了原理和方法上的介紹，文中在基於windows2000 xp操作系統下，綜合運用了控制系統實時模擬演算法、面向對象的軟體oop開發技術、基於tcp ip協議的網路通訊技術及三維虛擬現實opengl的api開發技術，在vc + +應用程序框架的范圍內，開發了具有友好互動式三維界面的分散式模擬平臺，該平臺除了用於先進飛行控制理論的實南京航空航天大學博士學位論文時程序驗證之外，也可以用於航空院校的飛行控制系統教學實踐和飛行訓練的課程，由於開發這一平臺並不需要大量的資金投入，因此具有非常廣泛的應用前景。 -
Based on wavelet networks and multiple model adaptive control theories, the identification and control methods for the complicated nonlinear dynamic systems are proposed
本文以小波網路和多模型理論為基礎，對復雜非線性動態系統的辨識和控制方法進行了研究。 -
Adaptive control of nonlinear discrete - time systems using radial basis function networks
基於徑向基函數網路的非線性離散時間系統的自適應控制 -
Self - adaptive control for uncertain systems based - on rbf neural networks
基於徑向基神經網路的非線性系統自適應控制 -
Robust adaptive control for nonlinear systems with singular perturbation
奇異攝動非線性系統的魯棒自適應控制 -
Abstract : in this paper, the problem of robust ( adaptive ) synchronization of chaotic nonlinear systems with a unified model is considered. two main methods are proposed in different cases. sliding mode control is used when the states of the two synchronized systems can be measured, though the considered systems may contain uncertain parts. adaptive control with an observer is employed when only output information about the systems is known, where sliding mode control is also adopted to improve the robustness of the adaptive control systems
文摘:針對混沌非線性系統的同步化問題，給出了一個較為一般的模型；我們利用混沌吸引子的特有性質（如混沌吸引子有界性等） ，對于所給模型，採用滑動模控制律實現了混沌同步化；在誤差可觀測的條件下，設計了觀測器，並採用自適應滑動模控制律使得混沌非線性系統可以達到給定的同步化誤差界 -
In this paper, the problem of robust ( adaptive ) synchronization of chaotic nonlinear systems with a unified model is considered. two main methods are proposed in different cases. sliding mode control is used when the states of the two synchronized systems can be measured, though the considered systems may contain uncertain parts. adaptive control with an observer is employed when only output information about the systems is known, where sliding mode control is also adopted to improve the robustness of the adaptive control systems
針對混沌非線性系統的同步化問題，給出了一個較為一般的模型；我們利用混沌吸引子的特有性質（如混沌吸引子有界性等） ，對于所給模型，採用滑動模控制律實現了混沌同步化；在誤差可觀測的條件下，設計了觀測器，並採用自適應滑動模控制律使得混沌非線性系統可以達到給定的同步化誤差界
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