A stairs model approximation for stable linear time-invariant system is given in this Paper.
本文对稳定的线性时不变系统提出了一种阶梯模型近似。
This paper extends the sequence model approximation (SMA) approach to hierachical control of large-scale steady state systems.
本文将序列模型逼近法推广到稳态大系统的递阶优化与控制中去。
The mental picture presented in the previous paragraph describing Python's object-oriented model is actually a fairly good approximation of how Python actually works.
上一段描述Python的面向对象的模型图像是对Python的实际工作方式很好的模拟。
This article indicates the principle for ANN bus protection based on function approximation ability, analyzes the functional relation of bus-bar object and builds the ANN model of bus-bar protection.
叙述了基于ANN函数逼近能力的母线保护原理，分析了母线保护物理对象的函数关系，构建了母线保护的人工神经网络模型。
It also suggests manual computation methods of approximation and computing model for computer to static effects and dynamic properties.
就其静力效应及动力特性，分别归纳出手算近似法和机算模型。
The engine mathematical model in the simulation system is obtained by approximation of testing data of an actual engine with a series of small deviation and linearized models.
仿真系统中的发动机数学模型是用一系列小偏差线化模型去逼进某一实际发动机的试车数据而得到的。
Using model as an approximation for nonlinear system, the nonlinear system has been fuzzified into local linear model.
采用模糊动态模型逼近非线性系统，将非线性系统模糊化为局部线性模型。
A mathematical model is therefore developed by approximation for such a self-exciting shock.
经过近似处理，推导出自激振荡的力学模型。
Approximation management framework is a model management framework that based on trust region method, and it aims to construct an optimization method that based on different models.
变可信度模型管理结构是在信赖域方法的基础上，为建立基于不同分析模型的优化方法提出的模型管理框架。
By using this method the extended error of the approximation model is diminished, the approximation precision is improved, and the flexibility is enhanced based on having the same sample points.
该方法在样本点相同的情况下减小了近似模型的推广误差，提高了近似精度，增加了适应性。
Using T-S fuzzy model as an approximation, the nonlinear chaotic system is fuzzy and translated into local linear model.
采用模糊动态模型逼近混沌非线性系统，将混沌非线性系统模糊化为局部线性模型。
Adaptive neural fuzzy inference system (ANFIS), as a local approximation approach, could be used to model the quantitative structure-activity relationship (QSAR) of medicine.
作为一种局部逼近方法，自适应神经模糊推理系统(ANFIS)适于为药物定量构效关系(QSAR)建模。
As one of the most important capability of ANN, function approximation ability can be used to design ANN model, which can characterize certain physics object.
函数逼近能力是ANN具有的重要性能之一，依据ANN具有的函数逼近能力，可用ANN模型去替代一个确定的物理对象。
The theory of identification model based on neural networks(NN)is to research into its capability of nonlinear approximation.
神经网络的非线性逼近能力的研究是神经网络成为辨识模型的理论基础。
The first part deals with the fundamental physical assumptions and mathematical model, while the second part describes finite-element approximation and method of calculations.
第一部分提出了基本的物理假定，讨论了数学模型；第二部分是有限元逼近和计算方法的讨论。
PID gain predictive control based on two approximation model is proposed for the problems of the traditional PID control and predictive control.
提出一种基于二次逼近模型的PID增益预测控制，并阐述了该系统的结构、算法和应用特点。
A backscatter model was developed for measuring wind field with far-field approximation method.
提出了一种基于远场近似法建立的大气风场测量散射模型。
The ion velocity distribution of Maxwell molecule collision model can be obtained using the 16-moment approximation.
进而得到了麦克斯韦分子碰撞模型下离子分布函数的16矩近似。
Simulations demonstrate that SVM has good nonlinear approximation capability for inverse model, and the proposed control system has good dynamic and static performances as well as good robustness.
仿真研究表明，SVM具有优良的逆模型辨识能力，基于模糊控制补偿的支持向量机逆控制系统的动态性能好、跟踪精度高、鲁棒稳定性强。
This paper deals with the computational model for fuzzy reasoning neural network and its function approximation capability.
研究了模糊推理神经网络计算模型及其连续函数逼近能力。
A modified light diffusion solution model was proposed from a heuristic version of beam spreading (BS) model and diffusion approximation (DA) theory.
受到光束扩散模型和漫射近似理论的启发，提出了一种改进的光传输求解模型。
The factors, which introduce the error of temporal differential estimation are, analyzed. The successive approximation calculation model for the optical flow estimation is put forward.
分析了光流计算中产生时域微分估计误差的各种因素，提出了光流的逐次逼近计算模型。
In this paper, an optimal mathematical model solving method, the successive approximation method, of the nature of nonlinear integral programming problem is suggested.
本文提出一种求解优化数学模型，属于非线性整数规划问题的方法——逐次近似法。
It is to select product samples, then to use methods of function approximation and set up model.
首先选取产品样本，然后采用函数逼近方法建立评价模型。
Secondly, analysed the approach model, described circular arc approximation method, approaching blade curved surface with this method and realized raise of the approach speed.
其次，分析了逼近模型，推导了单圆弧逼近方法，用这一方法来逼近叶片曲面，提高了逼近速度。
Function approximation is one of the most important ability of ANN, a function object can be replaced by an ANN model with function approximation ability.
函数逼近能力是ANN具有的重要性能之一，依据ANN具有的函数逼近能力，可用ANN模型去替代一个确定的物理对象。
As conducting polymers belong to the system of wide energy band, the SSH model in a state of tight-binding approximation is too crude.
由于导电高分子是宽能带体系；对于该体系来说，紧束缚近似下的SSH模型是过于粗糙的。
If we substitute actual model for approximation model, the precision of approximation model is very important.
如果用近似模型来代替真实模型，那么近似模型精确度就变得非常重要。
The thesis studies the generalized rough set models and proposes a multi-level rough set approximation model CBM-RS based on a covering of the universe.
作者研究了粗糙集扩展理论，提出了一种多层粗糙集模型CBM-RS。 该模型是一种基于覆盖的扩展的多层粗糙集模型。
Using the homotopy analysis method, the approximation of the solution for the model was obtained.
利用同伦分析方法，得到了该模型解的近似展开式。
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