A system error model of radar networks is established in this paper.
建立组网的系统误差模型，用非线性规划方法求系统误差。
Secondly, a camera system error model is put forward, and all coefficients are computed accurately by using system identification theory, and the test result is reported.
同时提出了一种成像系统误差的修正模型，并利用系统辨识方法正确估计了该模型的各参数；
This capability lets business process designers model and catch system exceptions, and execute error logic if a BPEL client returns a system exception.
业务流程设计人员使用此功能可以模拟和捕获系统异常，并在BPEL客户端返回系统异常时执行错误逻辑。
A method that measuring angular displacement error, identifying parameters of error model and compensating error automatically was put forward based on inductosyn angular measuring system.
针对感应同步器测角系统，提出了一种自动检测测角误差、辨识误差模型系数和补偿误差的方法。
Using this model, we analyzed the influence of some important parameters, such as packet size, forward error correction coding scheme and contention window size, to the system performance.
利用这一模型，分析了包长、纠错编码方式的选取以及竞争窗口长度等重要参数的选取对系统性能的影响。
In order to overcome the nonlinearity and time-varying uncertainty of actual industrial processes, an adaptive control system based on linearization error model is proposed.
针对实际工业生产过程中的非线性、时变不确定性，提出了一种基于线性化误差模型的自适应控制系统。
The research results show that the error—correcting model may not exist in arbitrary non—linear cointegration system .
指出并非对任意非线性协整系统，都存在误差校正模型的表现形式。
In this paper, multiple output error feedbacks are introduced via the parallel decomposition of the plant transfer function in the internal model control system.
本文通过对被控对象模型的传递函数并行结构分解，引入多重输出误差反馈，并根据内模结构来设计系统控制器。
This paper realizes disturbance de-coupled with model error and system uncertainty by using a combination of full-order nonlinear unknown input observer and fault detection filter.
该文设计了全维非线性未知输入观测器，实现检测滤波器对于被控对象模型误差和系统不确定性因素的干扰解耦。
Based on the approximation property of fuzzy systems, a nonlinear system can be expressed as the form of linear parametric model and a modelling error term.
根据模糊系统的逼近性质，非线性系统可以表示为线性参数化模型加上一建模误差项。
The basic principle and method of grey system model and its application in thermal error modeling on machine tools had been presented briefly.
提出了采用灰色系统模型进行机床热误差建模的基本原理及方法，以及其在机床热误差补偿建模中的应用。
Based on the INS error correction by quasi-three dimensional model, the method of the combination of camera imaging system with SINS to deduce the measurement matrix was utilized.
文中基于准三维模型对惯导系统误差校正的思想，利用摄像机成像系统和捷联惯导系统（SINS）相结合的方法，着重对量测矩阵进行推导。
Based on the definitions of the relative model error of plus response model in linear system and the minimum index of robustness, the robustness of all kinds of dot-controllers was analyzed.
定义了线性系统脉冲响应模型的相对模型误差和模型失配时的最小鲁棒指数，并在此基础上分析了各种拍控制器的性能。
The error model of low-cost inertial system is simplified.
对低成本的惯性系统误差模型进行了研究简化；
From system model selected, the lengths of hypothetical reference digital link and digital section are chosen, then the properties of bit error and jitter are determined.
从选定的模型，决定了假想参考数字通道和数字段的长度，确定了误码性能和抖动特性的指标。
Global positioning system real time kinematic technology (GPS RTK) was applied to the error model identification of the inertial navigation platform in this paper.
对在惯导平台车载试验误差模型辨识中使用全球卫星定位系统(GPS)载波相位差分(rtk)法进行了研究。
In addition, GPS observation itself maybe have system error, so it is needed to take into account GPS self-reliability when assimilating the GPS data into the numerical prediction model.
另外，GPS测量可降水量本身可能存在系统误差，在将GPS资料同化入数值预报模式时应关注GPS资料本身的可靠性。
On the basis of hybrid error model and adopting diminution order method by filter, an adaptive control scheme of hybrid model has been designed for high order system following the low order model.
基于混合误差模型，采用滤波器降阶的方法，设计了一种高阶系统跟踪低阶参考模型的混合模型参考自适应控制方案。
According to this model and the Kalman filter arithmetic, the FOG random error was filtered in real time in the process of initial alignment and navigation of FOG inertial navigation system.
根据该模型，采用卡尔曼滤波算法，实现了光纤陀螺惯导系统在对准与导航过程中光纤陀螺随机误差的实时滤波。
A modified adaptive model following control algorithm was presented, in which the system output error is added to control signal and the next time output error is evaluated by linear networks.
提出一种改进的模型跟随自适应控制算法，该改进算法把系统当前输出误差引入控制信号，同时利用线性神经网络估计系统新的输出误差。
The establishment of PIGA error model provides a theory basis to implement error compensation effectively and to raised precision of inertial system reliably.
陀螺加速度表的误差模型的建立对实现有效的误差补偿和可靠地提高惯性系统实用精度提供理论依据。
Aimed at the kinematic model of the car-like mobile robot with four wheels, the tracking error system is firstly transformed to a nonlinear serial system through a regular transformation.
针对四轮车式移动机器人的运动学模型，首先利用一个正则坐标变换，将误差系统转换为一个非线性串联系统的形式；
In imperfect condition, non-gyro inertial system has model error and system error.
非理想状态下，无陀螺惯导系统存在模型误差和系统误差。
The Predictive Filter is an estimation method based on nonlinear system model, which determines the optimal model error using a one-step ahead control approach to provide accurate state estimations.
预测滤波器是一种基于非线性系统模型的滤波方法，它通过使输出一步前向预测误差最小来估计模型误差，具有较高的估计精度。
Such a system is discussed in this paper, and the corresponding error model and measurement model, especially double-differenced GPS carrier phase model are set up.
针对全组合系统进行了研究，建立了相应的误差模型和系统观测模型，特别是组合系统下的GPS载波相位双差观测模型。
System model is the foundation of Kalman filter. The nondeterminacy of system model brought on apriori data error, as the low precision and the diverge of the filter.
系统建模是卡尔曼滤波的基础，系统模型不准确带来的验前数据误差，使滤波器精度降低，可能造成发散。
The results validate more validity of nonlinear error correction model on the wavelet neural network than linear vector autoregressive model, and forecast validly the nonlinear economy system.
研究证明，小波神经网络所建立的非线性误差校正模型有较好的预测效果，能够有效地预测非线性经济系统。
After the mathematical model of the system is developed, a practical method of establishing a testing datum is advances. Moreover, the system error is analyzed and estimated.
在建立了测量数学模型之后，提出了适用的测试基准建立方法，并对基准建立后的系统误差进行了分析计算。
A new forecasting model the Equal Dimension Grey Data Dynamic forecasting model Corrected by Remnant Error was proposed based on the Grey System Theory.
根据灰色系统理论，提出一种残差修正的等维灰数据动态预测模型。
Rules of the system error along with time is represented and stochastic process models are established: error accumulating model and Wiener model.
利用随机过程的方法来分析系统误差的变化过程，建立了系统误差的随机过程模型——误差累加模型和维纳过程模型。
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