结合抗力影响因素时变模型，模拟不同状态下的桥梁静动载试验的过程。
Combining resisting force effect factors time variation model, the static and dynamic test, which is in different situation, is simulated.
本文的主要内容之一是重点研究了线性时变模型的核心——脉冲敏感函数。
One of the most important content in this thesis is research on the core of linear time varying model - impulse sensitivity function.
仿真结果表明了该线性时变模型和参数估计算法的可行性，表明该自适应预测控制方法具有优良的控制品质。
Simulation results demonstrate the feasibility of the model and the parameter estimation algorithm, and show that the adaptive predictive control method has excellent control quality.
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.
烧结是一个典型的时变、非线性、大滞后的系统，很难用一个确定的数学模型去描述整个过程。
As sinter is a typical time varying and nonlinear system with large delay time, it is difficult to describe the whole process using a mathematical model.
基于复杂工艺过程的时变、非线性、大滞后的系统，很难用一个确定的数学模型去描述整个过程。
Based on a typical time varying and nonlinear system with large delay time, it is difficult to describe the whole process using a mathematical model.
针对其存在非线性、参数时变和大延迟等难以控制的特性，提出基于T - S模糊模型的预测函数控制新方法。
As the nonlinearity, time-varying parameters and large lag make the control difficult, a predictive functional control method based on T-S (Takagi-Sugeno) fuzzy model is presented.
通过在控制过程中分别对控制网络和模型网络进行自适应，解决了控制对象参数的时变问题，显著改善了整个系统的鲁棒性。
With separately adapting of the control network and the model network in control, the problem of time-variance of plant parameters is solved, and the robustness of whole system is improved obviously.
CD MA系统按信道模型的不同分为高斯白噪声信道和衰落信道、时变和时不变信道。
According to different channel models, CDMA systems can be divided into additive white gaussian noise (AWGN) channel and dispersive channel, time-variant and time-invariant channel.
无模型控制方法非常适用于实际的阶数难以知道或难以辨识，且是时变的非线性系统。
The model-free control is especially useful for real nonlinear systems whose orders and modeling are very difficult to be known and time varying.
此无模型控制方法非常适用于实际的模型参数难以辨识，且是时变的非线性系统。
The model-free control is especially useful for real nonlinear systems whose model parameter are very difficult to be identified and time varying.
多模型控制是解决系统时变、非线性、参数不确定性等复杂问题得一种有效方法。
Multiple model control is an effective way for solving complicated problems such as time varying, nonlinear and parameters uncertainty.
针对高速公路可变速度控制是一个非线性时变系统，难于用数学模型准确建模这一特点，提出了神经网络控制方法。
The variable speed control for freeway traffic is a nonlinear and time variable system, it is difficult to model with a mathematical model. A neural network control method is put forward.
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.
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.
基于贝叶斯预测技术，提出了一种实用的时变无线信道模型。
Based on the Bayesian forecasting technology, a practical time-varying wireless channel model was proposed.
作者提出了用虚拟时变噪声统计，补偿线性化模型误差的新思想。
A new approach of compensating linearized model errors by the fictitious time-varying noise statistics is proposed.
针对一类典型的参数时变的实际工业过程，基于模型参考自适应控制(MRAC)理论，提出了一种新的自适应控制方案。
In view of a kind of typical time-varying parameters of the actual industrial process, based on the model reference adaptive control (MRAC) theory, presents a new adaptive control plan.
由于系统方程是时变的，在测量过程中，系统噪声和观测噪声的统计特性等很难精确地估计或测定，事实上很多误差模型都不能简单的设为白噪声。
Because the system equation is changed with time, during the measurement, the statistic character of the system noise and the observation noise cannot be estimated or be determined accurately.
文中介绍了一种基于时变自回归模型的归一化参数自适应匹配滤波算法。
In this paper, an algorithm of normalized parametric adaptive matched filter based on time-varying autoregressive model is introduced.
信道模型为一线性时变系统。
针对高速公路限速控制是一个非线性时变系统、难以用数学模型准确建模这一特点，提出了R BF神经网络控制方法。
The control for speed limitation on freeway is a nonlinear and time variable system, it is difficult to model with a mathematical model. A control method based on RBF Neural Network is put forward.
时变需求库存控制模型的扩展研究。
The extensive research for inventory control models with time-varying demand.
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.
文中从卫星网络特点出发，给出一个可以反映卫星网络时变拓扑特点的网络模型。
In this paper, the characteristic of satellite network is analyzed, and a network model which can express the characteristic of satellite network topological time-varying is proposed.
通过分析行程时间时间序列的时变特性，利用指数平滑模型进行预测，最后提出合理的修正方法。
Then, we make prediction with moving exponential average model after the analysis of the travel time series. Finally, we present reasonable justification.
构件的抗力概率模型是进行桥梁结构时变可靠性研究的基础之一。
The resistance probability model is the foundation for study on time-dependent reliability of bridge.
根据对一类时变时间序列模型结构特点的研究，提出了一种时变ar模型的递推参数估计算法。
According to the structure characteristics of a time varying time series model, a new recursive parameter estimation algorithm of the time varying ar model is proposed.
根据对一类时变时间序列模型结构特点的研究，提出了一种时变ar模型的递推参数估计算法。
According to the structure characteristics of a time varying time series model, a new recursive parameter estimation algorithm of the time varying ar model is proposed.
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