modeling linear system 中文意思是什麼
modeling linear system
解釋
模擬線性系統-
The system can display in 3d the robots with higher quality graphics on pc by adopting the solid model technology, and modify the model of robots according to the size given by users, so that the parametric modeling is realized under interactive mode. it realizes the graphics simulation of robots in kinematics in both articulatory space and cartesian space, and it also realizes the animated simulation of trajectory of linear interpolation in point - to - point mode. the movement of robots can be realized by graphics teaching or programming
該系統採用實體造型，能在微機上顯示較高質量的機器人的三維圖形，可以按照用戶給出的尺寸修改模型，在交互方式下，實現機器人的參數化造型；系統能夠在關節空間和笛卡爾空間中進行運動學的圖形模擬，能進行點到點直線插補軌跡的動畫顯示，機器人的動作可以示教再現，也可以由程序設定。 -
A novel dynamic evolutionary clustering algorithm ( deca ) is proposed in this paper to overcome the shortcomings of fuzzy modeling method based on general clustering algorithms that fuzzy rule number should be determined beforehand. deca searches for the optimal cluster number by using the improved genetic techniques to optimize string lengths of chromosomes ; at the same time, the convergence of clustering center parameters is expedited with the help of fuzzy c - means ( fcm ) algorithm. moreover, by introducing memory function and vaccine inoculation mechanism of immune system, at the same time, deca can converge to the optimal solution rapidly and stably. the proper fuzzy rule number and exact premise parameters are obtained simultaneously when using this efficient deca to identify fuzzy models. the effectiveness of the proposed fuzzy modeling method based on deca is demonstrated by simulation examples, and the accurate non - linear fuzzy models can be obtained when the method is applied to the thermal processes
針對模糊聚類演算法不適應復雜環境的問題，提出了一種新的動態進化聚類演算法，克服了傳統模糊聚類建模演算法須事先確定規則數的缺陷.通過改進的遺傳策略來優化染色體長度，實現對聚類個數進行全局尋優;利用fcm演算法加快聚類中心參數的收斂;並引入免疫系統的記憶功能和疫苗接種機理，使演算法能快速穩定地收斂到最優解.利用這種高效的動態聚類演算法辨識模糊模型，可同時得到合適的模糊規則數和準確的前提參數，將其應用於控制過程可獲得高精度的非線性模糊模型 -
We first set up the hiberarchy of the nmm ’ s visualization and focus on the study of pem ’ s visual process. then the coupling equation of pem is deduced and a rapid algorithm for solutions of bordered tridiagonal linear equations is put forward. in the last of the thesis, elementary system of deformation geometry unified for manifold ’ s structure is studied primarily via the idea of unified modeling and some theoretic results for analytical visualization are given out under the system of frenet frame of arbitrary parameters
文章結合nmm的基本原理和特點，研究了nmm可視化的有關理論和方法;文章首先建立了nmm可視化的層次結構，重點對面素單元法（ pem ）的可視化過程進行了細致研究，推導出了pem的耦合方程，然後給出加邊三對角方程組的一種快速求解演算法，最後還從統一建模的思想對統一于流形結構變形幾何的基本體系進行了初步研究，得到了任意參數形式下frenet標架體系的若干適用於解析可視化的理論結果。 -
Basing on the non - linear system ' s modeling method of nn, it develops the modeling research that utilizes the mutual makeup in elman dynamic nn and invigorative model
基於神經網路的非線性系統建模方法，開展了利用elman動態神經網路與機力模型互補的建模研究。 -
And, the attenuation rate rose out of fog is studied, calculating that and modeling it prediction formula using non - linear system identification method
計算了霧的衰減率，並用非線性系統辨識方法得到了霧的衰減率的預報模型；計算了霧的反射率隨能見度的變化規律。 -
Using the grid - type method to partition the space, regarding the modeling data as the antigen and the fuzzy rules as the antibody, this method determines the structure of t - s system with immune theory and adopts the least square method to estimate consequent parameters of the linear rule
該方法結合網格空間劃分方法，以建模數據為抗原，模糊規則為抗體，採用人工免疫原理確定系統結構，並應用最小二乘方法估計線性規則後件參數。 -
This paper discuss a modeling and predicting means for nonlinear systems proceeding from nonlinear systems modeling and predicting theory, whch is based on drnn model. this means overcomes the fact that ar model is used only in linear systems, at the same time it connects itself with approximation theory symbolic statistics and conjugate gradient algorithm, and formulate a system of large watercrafts motion modeling and predicting which is based on drnn model, and simulate it
本論文從非線性系統建模與預報的理論及應用觀點出發，系統地闡述了一類適用於非線性系統的建模預報方法? ?基於drnn模型的建模預報方法，克服了ar模型僅局限於線性的情況，同時結合逼近論、數理統計等知識，運用共軛梯度演算法，提出並建立了基於對角回歸神經網路的大型艦船運動建模預報系統，並進行了模擬。 -
The main contributions are as following : the dynamic modeling, the solution of the linear and nonlinear differential equations, the dynamic response of the system, and so on. on account of the influence of the model of the high - speed cam - follower system on the dynamic character, the two modelings, the modeling with consideration of the clearance between the cam and the follower and the modeling without consideration of the clearance, were been addressed firstly
本課題主要對高速凸輪機構的周期時變系統的動力學問題進行了相關研究，具體在高速凸輪機構作為周期時變系統的動力學建模、凸輪系統的周期時變模型的線性和非線性的微分方程的求解方法探索和凸輪系統的動態特性分析等方面做了一些工作。 -
The modeling, analysis and control of networked control systems are studied in this dissertation when the controlled process is linear time - invariant system
本文基於線性時不變的被控對象，研究了網路控制系統的建模、分析與控制問題。 -
It is based on the mean square error ( mse ) principle and we prove the validity of the method by computer simulations. to make a thorough understanding of mimo adaptive equalization system, in this thesis the author : 1 ) ananlyze the characteristics of mimo wideband channels and the modeling and simulation of 3gpp scm ; 2 ) research the capability of mimo linear adaptive equalization and mimo non - linear adaptive equalization by computer simulations ; 3 ) present a new method for selecting the order of adfe model 4 ) implement the adfe on adsp - 21160 for static image transmission, and already achieve satisfactory experimental result, which make a foundation for mimo adaptive equalization to be appllied in the real communication systems
為對mimo自適應均衡系統性能和設計做更深入的理解和研究，本文主要: 1 ）研究了寬帶選擇衰落通道特性及3gppscm通道建模模擬; 2 ） mimo線性自適應均衡器和mimo非線性自適應均衡器系統的性能分析和模擬實現; 3 ） mimo系統下的判決反饋均衡器的階數選擇模擬試驗分析; 4 ）把mimo自適應判決反饋均衡運用到了硬體模擬平臺上，採用了基於adsp - 21160的硬體dsp開發板，對靜止圖片的傳輸進行了試驗、分析和比較，得到了較滿意的實驗結果，使mimo自適應均衡在實際通信系統上的應用及實現奠定了現實基礎。 -
Specially we discuss and analyze the theory of linear quadratic gaussian control and the theory of implementing the stability of a uncertain time - delay system which include in the theory of robust control, and deduces some theories in detail, and gets the using method of the two theories in the actual systems. in this paper we first discuss and analyze the uncertainty of the macroeconomic system by the theory of linear quadratic gaussian control, and try to avoid the effect of the modeling error in system and the disturbed signal from the system and outside
本文主要研究了處于控制理論中的魯棒控制理論，其中重點研究與分析了線性二次型高斯控制理論和時滯不確定系統的魯棒穩定理論，對其進行了一定的理論推導，並得出了這兩種控制理論在實際系統中的運用方法。本文首先運用線性二次型高斯控制理論對宏觀經濟系統進行了分析和控制，力求消除或減少系統中的模型化誤差及其本身和外部的擾動信號等不確定性的影響，並藉助matlab設計軟體進行模擬，以得出最佳控制策略。 -
This paper aims at the uncertainty of the macroeconomic systems and atmospheric pollution system which is analyzed and controlled by the theory of linear quadratic gaussian control and the theory of h control, and avoids the effect of the modeling error in systems and the disturbed signal from the system and outside
本文針對宏觀經濟系統和大氣污染控制系統模型的不確定性，分別運用線性二次型高斯控制理論和h _ 。控制理論進行宏觀經濟系統和大氣污染系統的的分析與控制，消除系統中的模型化誤差及其本身和外部的擾動信號等不確定性的影響，藉助matlab設計軟體進行模擬，得出最佳控制策略。 -
The research work focuses on the following four main investigations : 1. theory of fluid system design for adjustable linear oil damper by use of dynamic mathematical models and dynamic - parameter - compensat ing method, the first research of this item has established the generalized optimiz - - ation mathematical model of the fluid system of an adjustable linear oil damper ; by use of the mechanical generalized optimization theory and platform, the first research has also made a multi - objective and overall - performance optimal design to the fluid system which gives the damper both the best damping performances and the best economic capacities ; by modeling the whole damper and analyzing it by numerical method, the second research of this item has solved the problem of the damper ' s dynamical damping characteristics calculation, simulation and analysis
主要涉及以下四個方面的內容： 1 、可調式線性油壓減振器阻尼系統的設計理論採用動態數學模型和動態參數補償的方法對可調式線性油壓減振器的阻尼系統進行了廣義優化設計建模；運用機械廣義優化設計理論和平臺對可調式線性油壓減振器的阻尼系統進行了多目標、全性能的優化，實現了其技術性能和經濟性能的綜合優化設計；通過對整個油壓減振器進行建模與數值分析，解決了工程上對多級擬合線性油壓減振器的阻尼性能進行求解、對其動態特性進行分析的難點。 -
The model employs advanced linear programming technique, including the device to distribute the material to downstream automatically, nonlinear recursion, modeling and auxiliary function of data, and advanced distribution recursion, which can describe enterprises producing and management course accurately, perfect the function of enterprises management system, and promote enterprise ' s management level
模型採用先進的線性規劃技術，包括自動將物料質傳遞到下游裝置、非線性回歸、建模和數據輔助功能及先進的分散式回歸，可以準確描述企業的實際生產經營過程，該完善企業管理系統的功能，提升企業管理水平。 -
Now the subject of modeling and identifying various nonlinear systems has attracted many researchers. however, it is difficult for the classical identification methods based on the linear system or intrinsically linear system theory to provide satisfactory results
當前，對各種非線性系統的建模、辨識己引起人們的廣泛注意，但是，使用建立在線性或本質線性系統基礎上的傳統辨識方法難以獲得理想結果。 -
To the non - linear problem between concentration and refraction index regarding temperture in the luquid food concentration measurement system, the artificial neural network modeling methods was applied and the new model was set up based on test data
摘要針對液漿類食品濃度檢測系統中，濃度與折射率、溫度之間的非線性關系問題，將人工神經網路技術應用於濃度測量的建模中，以實驗數據為基礎，建立了檢測系統的數學模型。 -
A linear state - space model is modeled for the system identification and prediction at the tangent space of working point. the errors of modeling and
在局部的切空間上對系統進行線性建模和預測，同時利用在線學習的神經網路補償局部線性模型的建模和預測誤差。 -
R is a language and environment for statistical computing and graphics, similar to the award - winning s system, that provides such statistical and graphical techniques as linear and nonlinear modeling, statistical tests, time series analysis, classification, clustering, and such
R是用於統計計算和圖形的語言和環境，類似於獲獎的s system ， r提供了諸如線性和非線性建模、統計測試、時間序列分析、分類、群集之類的統計和圖形技術。
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