研究了非线性参数系统模型的识别问题，通过引入求解线性方程组的松驰法思想，构造了一类新的迭代识别算法。
A nonlinear system parameters identification problem is investigated in this paper by introducing a relaxation method used for solving the linear equations of the system.
非线性结构的参数估计和系统识别是取得和验证非线性结构数学模型的一门学科。
The parameter estimation and system identification of nonlinear structures is a subject which serves to obtain and verify mathematical model of nonlinear structures.
利用听觉频率非线性特性的美尔倒谱作为语音识别的特征参数，来辨识说话人提供的输入口令。
Also, since MFCC represent hearing frequency nonlinear characteristic, we utilize MFCC to be another speak recognition characteristic parameter to distinguish the input passwords.
在线识别算法可以实时地识别出结构非线性回复力和结构参数的变化。
The on-line identification algorithm can identify the nonlinear restoring force and the changes in structural parameters in real time.
研究了非线性迟滞系统的参数识别问题。
The parameter identification of nonlinear hysteretic systems is dealt with in the paper.
选用美尔倒谱系数及其差分作为语音识别的特征参数，来描述人耳的听觉频率非线性特性。
Selected for use MFCC and the difference and divided the characteristic parameter as phonetic recognition, to describe the non-linear characteristic of frequency of sense of hearing of ears of people.
对基于时-频相结合的非线性振动系统的参数识别问题进行了研究。
The question about parametric identification of nonlinear vibration system based on time-frequency analysis was studied.
本文利用非线性电路的非线性性质和替代原理，提出一种新的非线性电阻电路参数识别法。
A new method is proposed to identify the parameters of a nonlinear resistive circuit by making use of the nonlinearity of circuits and by the substitution theorem.
本文提出链状非线性振动系统非参数识别的新算法。
This paper presents a new approach of nonparametric identification for nonlinear dynamic systems.
利用数学模型和非线性最小二乘法对实验数据进行了参数识别，得到了动力学模型参数。
Parameters of kinetics were estimated from experimental data by using mathematical model and the method of least squares, and the kinetic equation was obtained.
在识别过程中，将非线性迟滞系统的记忆恢复力用双折线模型来描述，并由此模型写出非线性迟滞系统的参数识别方程。
In the process of identification, a bilinear model, based on which the identification equations are obtained, is used to describe the memorial restoring force of the nonlinear hysteretic system.
本文应用扩展的卡尔曼滤波估计结构动态参数，文中提出一种简便的减缩变量卡尔曼游波方法，采用等效线性化原理识别结构的非线性参数。
A reduced Kalman filter method for estimating the dynamic parameters of structures is presented in the paper. The results of calculation and test show that this method is effective.
依靠非线性时间序列分析方法提取重构动力系统的非线性或混沌特征参数，可以达到识别的目的。
The targets recognition can be reached by extracting the features of the reconstructed dynamics using nonlinear methods.
设计了模型结构和参数分别进化，共同识别方案，实现对非线性时间序列分析模型结构和参数进行全局最优搜索。
A new stepped evolutionary scheme is designed to search the global optimal structure and parameters of the nonlinear time series model.
进而给出了材料参数已知时，摩擦系数识别非线性问题的一种线性化算法。
A kind of linearized algorithm is given out to identify the friction coefficient when the material parameters are known. Experiments show that the above algorithms are practicable.
对基于静力位移结构识别问题的参数分组及可辨识性标准进行了讨论，建立了基于模拟退火-单纯形的完全非线性识别算法。
Then the parameter group and identifmbility criterions were discussed . the identification algorithm based on the simulated annealing - simplex shape algorithm was proposed.
针对某型号金属橡胶减振器建立了非线性数学模型，并利用最小二乘法对模型进行了参数识别。
For a metal rubber damper, the nonlinear mathematical model was built and identified with the least square method.
针对某型号金属橡胶减振器建立了非线性数学模型，并利用最小二乘法对模型进行了参数识别。
For a metal rubber damper, the nonlinear mathematical model was built and identified with the least square method.
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