1) Piecewise Linear Transformation
分段线性变换
2) piece wise-linear gray level transformation
分段线性灰度变换
1.
Image analysis and recognition algorithms, such as piece wise-linear gray level transformation and Hough transformation, and the template matching method, are used synthetically to automatically take out the direction and position of the pointers on the meter panel and to determine th.
对实现其原理所采用的主要方法,如分段线性灰度变换、Hough变换、模板匹配法进行了介绍。
3) nonlinear color transformation
非线性分段色彩变换
1.
A face detection method based on skin color space mapping,a nonlinear color transformation and FCM dynamic clustering algorithm for color images in complex background is presented.
针对复杂背景下彩色图像中的人脸检测,研究一种基于非线性分段色彩变换、肤色模型和FCM动态聚类算法的检测方法。
4) LFT
线性分式变换
1.
Begin with the generalized stability margin and its correlation concepts,clearance criteria and linear fractional transformation(LFT),the μ-analysis method used to clear stability margin of the multivariable flight control system(FCS) is present.
在介绍系统广义稳定裕度相关概念、评估准则、系统线性分式变换(LFT)表达的基础上,给出了基于μ分析的多变量系统稳定裕度评估方法。
2.
The generalized stability margin and the linear fractional transformation(LFT) are introduced.
本文介绍了系统广义稳定裕度概念及模型的线性分式变换(LFT)表达,给出了μ分析评估方法的相关概念、性质,并使之相结合评估飞行控制律。
3.
The paper constructs the robust flight control systems by using linear fractional transformation (LFT) based on parameters uncertainty and μsynthesis.
提出了一种利用线性分式变换(LFT)建立参数不确定性模型和μ综合相结合设计低阶的鲁棒飞行控制系统的方法。
5) linear fractional transformation(LFT)
线性分式变换
1.
The missile linear fractional transformation(LFT) model was established by the graph approach,and the missile s dynamics was separated into certainty part and uncertainty part.
采用图形法建立了导弹线性分式变换(LFT)模型,将导弹动力学明确描述为确定性与不确定性两部分,构造了线性参数时变(LPV)/μ控制结构,运用D-K-D迭代算法设计了导弹H∞增益调度自动驾驶仪。
2.
Due to the parameter′s uncertainty in the electro-hydraulic proportional system,a system model with uncertain parameters is built by analyzing the electro-hydraulic model,using the method of linear fractional transformation(LFT) and adopting the multiplying uncertain parameters.
针对电液比例系统中系统控制数学模型参数时变要求控制器鲁棒性强的特点,通过分析电液比例系统的物理模型,利用线性分式变换(LFT)方法,引入乘性不确定性参数,给出了参数时变的电液比例模型,并得出了具有参数不确定性系统状态空间函数模型。
6) linear fractional transformation
线性分式变换
1.
Based on linear matrix inequality (LMI) and linear fractional transformation (LFT),this paper researches on robust H ∞ fault-tolerant controller design of linear uncertain continuous systems in which there are time-varying normbounded parameter uncertainty and actuator failures.
该文基于线性矩阵不等式 (LMI) ,研究时变不确定系统在线性分式变换模型下的鲁棒H∞ 容错控制问题。
2.
By means of the nonlinear state feedback and coordinates transformation,many uncertain nonlinear systems can be transformed as a linear fractional transformation(LFT) on the generalized plant and the uncertainty.
利用非线性状态反馈和坐标变换 ,可将许多不确定性线性系统线性化为关于广义对象和不确定性的线性分式变换 (LFT) ,基于这个 LFT,用 D- K迭代法可获得线性化系统的鲁棒控制器 ,然后通过回代得到非线性鲁棒控制
3.
Generally speaking,Linear Fractional Transformation(LFT) is the most common method for description of uncertain plants.
本文研究了参数摄动时系统状态空间模型的描述 ,指出了当参数呈线性关系摄动时 ,可用A+ΔA来描述 ,一般说来应该用线性分式变换 (LFT) 。
补充资料：分段线性映射
分段线性映射指两个单纯形间的映射，它限制一个点（不是顶点）附近是线性的。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条