时变参数的估计问题，对于动态系统的控制是十分重要的。
Time varying parameter estimation is very important to the control of dynamic system.
实例计算表明，时变参数预测模型有望提高模型的预测精度。
The case study showed that the time dependent parameter model has high prediction precision.
提出了一类基于先验信息的时变参数辨识算法以克服病态辨识。
A new identification method based on apriori information is proposed for time varying process to avoid the ill-condition of least squares method.
本文重点研究了现有各种时变参数识别方法的内在联系及各自特点。
This paper lays emphasis on the research of internal connection of various time varying parameter identification methods.
为了跟踪快时变参数，提出了一种滚动多模型加权平均参数估计算法。
A rolling multiple model weighted average estimation algorithm is presented for tracking the fast time varying model parameters.
在灰色GM(1.1)模型的基础上，建立了非等时距的时变参数灰色预测模型。
On the basis of the grey model GM (1, 1), a new grey prediction model with time - dependent parameters is established.
首先通过引入一个依赖于时变参数的参数依赖补偿设计，使得估算保守性有所减少。
Firstly a parameter-dependent compensator design which depends on the time-varying parameter is introduced in such a way that the conservativeness in the estimation is reduced.
本文研究了动态时变参数多层递阶法的原理及其在地震预报中应用的具体实施步骤。
This paper deals with a new principle of the dynamic - variable parameter-multi hierarchic method and its specific implement step in earthquake prediction.
动态模型的统计参数是随时间变化的时变参数，参数的变化反映了大坝的渗流变化趋势。
Parameters of the dynamic statistical model are the time-varying parameters, variation of parameter reflects the variable trend of seepage.
这类系统的状态空间矩阵是一些时变参数的仿射函数，而这些时变参数是可以实时测量的。
The state space matrices of the systems are assumed to be affine functions of some time varying parameters, which can be measured in real time during the system operation.
一般的定量预测方法因用固定参数模型预测一个时变参数系统的情况而致存在一定的局限性。
Generally fixed quantity prediction method has a certain deficit because of the case that predicts a time moving parameter system with fixed parameter model.
给出了循环平稳随机信号的LPTV时变参数信号模型及该模型参数与信号循环统计量之间的关系。
Present a time-varying parametric model that is LPTV type, and study the relationship between model parametrics and cyclostatistics of its ouput signal. ?
本文针对船舶操纵这种非线性、时变参数控制对象，提出了一种采用神经网络自适应PID控制方案。
In this paper, according to nonlinear and time-varying parameter of ship maneuvering, the scheme of neural network adaptive PID control is proposed.
还进一步讨论了模型中时变参数的辨识方法，最后的仿真实例说明了这类模型及其辨识方法的有效性。
Based on the discussion of time -varying parameter identification, a application example is given to indicate the effectiveness of this fuzzy state equation.
而异步电机是一个多变量、强耦合、非线性的时变参数系统，很难直接通过外加信号准确控制电磁转矩。
But asynchronous machine is a multivariate close coupling non - linear time - variable parameter system. And it is difficult to control by rule and line through adding exterior signal directly.
阵列入射信号时变参数的联合跟踪，是我军在现代电子战中进行有效电子防御和进攻时需要解决的首要问题。
Jointly tracking the time varying parameters of array incident signals is the chief problem that our troops efficiently carry out electronic defense and offense in modern electronic war (EW).
给出了一个新的用于线性时变参数结构系统模态参数识别的基于固定长度平移窗投影估计的递推子空间方法。
A novel recursive subspace method is developed based on fixed length moving window (FLMW) projection approximation used for estimating the modal parameter of linear time-varying structural system.
本文提出了一种基于强跟踪滤波器的自适应故障预报方法，能够对一类带时变参数的非线性系统进行故障预报。
This paper presents an adaptive fault prediction method based on strong tracking filter, which can predict faults in a class of nonlinear time varying systems.
本文提出了一种基于强跟踪滤波器的自适应故障预报方法，能够对一类带时变参数的非线性系统进行故障预报。
Then two better methods that one of correction of model error and the other of nonlinear filter by Strong Tracking Filter were proposed.
结果表明，动态自回归模型时变参数（时变系数）的变化是有规律的，其增量大体上是一些简单周期函数的叠加。
The results showed that the change of time-varying parameters (coefficient) in dynamic AR model has a regularity. Its increments are piled up by some simple period functions.
该方法由于采用了间断迭代，因此可以克服坏数据对参数估计的影响，且具有较强的鲁棒性，又可以跟踪时变参数。
It can overcome the effect of bad data on parameter estimation, and has strong robustness, and can track time-varying parameters because the discontinuous recursive computation was applied.
研究了隧洞施工中地表沉降动态预测模型，提出了时变参数灰色—时序动态预测模型，并建立了一种改进的时变灰色模型。
The dynamic data forecasting model of ground settlement is studied, a new prediction model of grey-time serial with time-varying parameters characters is proposed.
本文主要研究建立在任意速度运动刚体激励下、带弹性支撑悬臂梁系统时变参数动力学的模型，并对该系统进行了分析和识别。
This paper studies mainly on the construction of the model of a cantilever beam with moving rigid body at random speed and the analysis and identification of the system.
该文提出了一种新的非平稳信号的时变参数ARMA模型分析方法，用它分析数据需两个基本步骤：首先，用一种信号分解方法把信号分解成一些基本模式分量。
In this paper, a new method for time-varying ARM A model is introduced. It includes two procedures. First, using one method of signal decomposition, a signal is decomposed into some basic components;
当模型复杂且非线性时（换句话说，在线性方式下参数不共变），或者当模型涉及多于两三个不确定参数时，使用该方法。
The method is used when the model is complex and nonlinear (that is, parameters do not co-vary in a linear manner), or when the model involves more than just two or three uncertain parameters.
对于调峰机组，当负荷变化时机组的过程模型甚至结构参数都具有明显的快时变特性。
For peak load unit, its process model and structure parameters have obviously fast time-varying characteristic while load changing.
针对工业过程中普遍存在的时滞、非线性、对象参数时变等特性，提出了一种基于最优预测的神经元模糊自整定PID控制算法。
To the widely existed characteristics of time-delay, non-linear and timevarying of parameters in the industry process, an adaptive neuron-fuzzy PID controller based on optimal prediction is presented.
催化裂化装置是一个高度非线性、时变、长时延、强耦合、分布参数和不确定性的复杂系统。
FCCU (fluid catalysis and cracking unit) is a highly non-linear, time variable, long time delay, intensive coupling, parameter distributed, indefinite and complex system.
为表达过程时变的特点，引入时间参数作为神经网络的一个输入量。
The time parameter is also imported into the neural network to give the time-varying characteristic of the process.
为表达过程时变的特点，引入时间参数作为神经网络的一个输入量。
The time parameter is also imported into the neural network to give the time-varying characteristic of the process.
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