所提出的“参数辨识模型”具有良好的模型结构，对目标的各种运动模态具有广泛的适应能力。
The proposed model is an optimized model structure and has a strong adaptability in kinds of mode of moveable target.
实际算例的结果证实了该算法对综合负荷模型参数辨识的有效性和准确性。
The results of two practical examples prove its validity and accuracy when applied it in parameter identification of composite load model.
通过继电反馈辨识方法获得被控对象模型参数。
The model parameters of controlled objects were obtained with relay feedback identification method.
本文介绍一种对摇摆数学模型线性参数在线辨识的方法和装置。
Here we introduce a method and equipment of on-line linear data identification for a swing mathematic model.
通过工况的识别以及模型参数的离线辨识和在线优化，混合模型可以准确地模拟复杂过程在大范围内的动态特性。
By recognition of work condition, off-line identification and on-line optimization of parameters, hybrid model can be used to simulate dynamics of complex process correctly in a large scale.
研究了ZIP负荷模型与感应电动机相并联的综合负荷模型参数的简化辨识策略。
The simplified identification strategy for parameters of composite load model constituted by ZIP load model in parallel with asynchronous motor is researched.
通过大量的实际驾驶人员的试验数据，辨识出各种水平的驾驶员模型参数，为改进智能车控制系统的设计提供了依据。
Through the experiments of many drivers, parameters of driver model with different levels are identified, which will be helpful in improving design of the intelligent vehicle control system.
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.
理论分析和实验研究表明该模型及其参数辨识方法是实用的、可行的。
Theoretical analysis and experimental research show that the model and the parameter identification methods are practical and feasible.
本文以遗传算法为基础，提出了一种辨识双线性离散动态系统模型参数的方法。
The paper based on genetic algorithms proposes a method for identification of bilinear discrete dynamic model parameters.
本文研究了惯导平台漂移误差模型的参数辨识技术。
In this paper, the parameter identification technique of inertial navigation platform drifting error model is studied.
该方法可用于其它液压系统频域参数模型的辨识。
The method can be used to identify other frequency domain parameter models of hydraulic system.
本文探讨了用较简单的汽车试验数据来辨识汽车转向运动数学模型参数的方法。
In this paper, the method for identifying the parameters of mathematical model of vehicle steering motion upon the simple vehicle test da-ta have been investigated.
该模型采用基于神经网路理论的模糊模型参数辨识方法，很适合于复杂系统的模糊预测和控制。
The model is suitable for fuzzy prediction and control of complex system because the recognition method of fuzzy module parameters based on the theory of neural network is adopted.
作者借助于线性系统理论讨论了乳突型N房室模型的参数辨识方法。
The Method for identifying the parameter of mammillary N-compartment model is discussed in this paper on the basis of linear system theory.
通过实际测量和参数优化方法，对模型参数进行了成功辨识。
By the method of actual observation and parameter optimization, the parameters of the model were determined successfully.
研究结果，为进一步开展考虑配电网络综合负荷模型参数辨识提供指导依据。
Research results, as comprehensive consideration distribution network load model parameter identification provides guidance.
对于重要工程或重要地段的软土沉降反演计算，采用基于模型辨识的参数反演方法。
For important engineering or important embankment, the method of parameter inverse analysis based on model discerning is used to calculate the embankment's settlement.
对含有有界扰动和参数不确定性的离散时间被控对象建立多个辨识模型，覆盖被控对象的参数不确定性。
Multiple models were set up to cover the parameter uncertainty of a discrete time system with bounded disturbance and uncertain parameters.
该方法利用模糊似然函数对样本数据进行聚类，并使模糊模型的结构辨识和参数辨识能同时完成，从而实现模糊模型的在线辨识。
The proposed method can accomplish the structure identification and the parameter identification of the fuzzy model in the same time, and implements the on-line identification of the fuzzy model.
本文提出了用多变量CAR时序模型来辨识电液伺服系统的阶和参数。
This paper proposes the order and parameter identification of electro-hydraulic servo system by multi-variable time series CAR.
根据磁流变阻尼器的实验结果，建立了一种新的磁流变阻尼器的唯象模型，通过实验数据对模型中的未知参数进行辨识。
We found a new phenomenological model based on experimental data. Then identify the unknown parameters in virtue of the results.
本文介绍了在航空发动机闭环控制系统的反馈通路上施加伪随机试验信号时，对发动机模型参数进行辨识的方法。
An aeroengine model can be identified from actual closed-loop engine test data if pseudorandom binary sequence as test signal ACTS on feedback circuit of the closed-loop control system.
本文提出基于系统辨识和参考模型的调速器PID参数优化方法。
A new PID controller optimization design scheme based on system identification and reference model is proposed.
编制了盐岩流变模型辨识及力学参数反演、井眼缩径规律的计算程序。
And then workout the computational programme to identify the salt rock rheological models and mechanical property inversion, well hole diameter shrinking rule.
这里不假定模型结构已知，给出了多模型系统模型族的统一描述方法，包括模型结构与参数的辨识方法。
Here, we suppose that the model structure is unknown. A unified description method of model set of multi-model system, including the identification method of model structure and parameter, is given.
为了获得鲁棒pid参数整定所需的过程模型，进行了闭环频域模型辨识的研究。
In order to obtain the dynamic model of the process to be used by robust PID, closed-loop model identification algorithm in frequency domain is researched.
对处于扰动状态下的预分馏塔的仿真结果表明，该算法可以有效地解决一类多神经网络模型的在线参数辨识问题。
Simulation results of a disturbed pre-fractionator show that this algorithm can be used to solve on-line parameters-recognized problem of a kind of multi- neural networks model effectively.
结合具体工程，将以上提出的方法应用于岩体弹塑性模型及参数辨识，并对辨识结果进行了检验和应用。
Applying the method mentioned above to practical engineering to back-analyse the elastoplastic model and parameters of rock. Validating and utilizing the results identified.
结合具体工程，将以上提出的方法应用于岩体弹塑性模型及参数辨识，并对辨识结果进行了检验和应用。
Applying the method mentioned above to practical engineering to back-analyse the elastoplastic model and parameters of rock. Validating and utilizing the results identified.
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