And the main parameter model is also constructed using neural networks . neural networks is used to identify the aerodynamic characteristic of the missile . the effectiveness of neural identification is verified by simulation study 針對導彈這樣復雜非線性的系統(tǒng)建立了bp網(wǎng)絡(luò)自適應辨識模型,氣動特性bp網(wǎng)絡(luò)辨識模型,及主導變量的bp網(wǎng)絡(luò)軟測量模型。
They included object model , dynamic model and function model of the tgcs . additional the basal arithmetic class component , parameter model class component and simulation model class component , which are set up 包括魚雷制導系統(tǒng)的對象模型、動態(tài)模型和函數(shù)模型,以及基于這些模型的基本算法類組件、參數(shù)模型類組件和仿真模型類組件,它們共同構(gòu)成魚雷制導系統(tǒng)仿真環(huán)境的主體。
The parameter model of the stewart platfonn is founded firstly in mis paper , based on which we analyze the kinematics performance of the stewart platform , all these works are the basis of the structure design and the accuracy design of stewart platform 本文首先建立了能描述stewart平臺族的參數(shù)模型,在此基礎(chǔ)上對stewart平臺進行了運動學分析,為后續(xù)的結(jié)構(gòu)設(shè)計和精度設(shè)計打下了理論基礎(chǔ)。
This paper proposes a novel tracking control approach for nonholonomic mobile robots by integrating the neural dynamics model into the backstepping technique , and an adaptive parameter model is utilized to implement robust tracking 摘要提出了一種針對非完整移動機器人軌跡跟蹤控制的新方法;該方法將神經(jīng)動力學生物激勵模型集成到后退控制方法中,同時采用自適應參數(shù)模型來實現(xiàn)具有魯棒性的跟蹤控制。
( 5 ) based upon numerical simulation , the effect of initial value and measure random error on back - analysis is discussed , and the first parameter and the second parameter of two - parameter model of the experimental field is identified using the experimental data ( 5 )通過數(shù)值模擬,分析了初值及測量結(jié)果隨機誤差對反分析結(jié)果的影響,并利用試驗數(shù)據(jù),識別出試驗場地雙參數(shù)地基模型的第一參數(shù)與第二參數(shù)。
The step of this method is : selecting variables and their rang , creating experiment points , establishing parameter models , calculating cfd models , choosing aerodynamic characteristics , establishing surrogate models and setting optimization models 這種方法的步驟是:確定設(shè)計變量及其取值范圍、生成試驗設(shè)計點、建立參數(shù)化幾何模型、應用cfd軟件進行數(shù)值計算、提取氣動特性、構(gòu)造代理模型和建立優(yōu)化模型。
Fitting results of three non darcy seepage models including three - parameter model , power exponent model and two - section model were pretty good , and broken line model could be simplified to the forms of linear permeability model and darcy model 試驗與分析結(jié)果表明,三參數(shù)模型、冪指數(shù)模型和非線性分段模型這3種非達西滲流模型的擬合效果較好;折線滲流模型簡單實用,在特殊情況下可以簡化為線性滲流模型或達西定律。
One is initial parameter estimation , another is small rotation around the center of images . for the former problem , we use resampled small images to compute cross correlation . and we use a 3 - parameter model including small rotation to solve the latter problem 主要解決了初始參數(shù)的估計問題和繞圖象中心的小角度的旋轉(zhuǎn)問題,前者采用重采樣的小圖象進行相關(guān)匹配,在解決后一個問題時,采用了包含小角度徒轉(zhuǎn)的三參數(shù)模型。