首先提出了一种解决盲辨识问题的算法，然后利用辨识得到的系统模型对源输入信号进行反卷积恢复。
The blind inverse identification arithmetic is proposed firstly, and then the input source signal is restored by the deconvolution method using the identified system model.
针对感应同步器测角系统，提出了一种自动检测测角误差、辨识误差模型系数和补偿误差的方法。
A method that measuring angular displacement error, identifying parameters of error model and compensating error automatically was put forward based on inductosyn angular measuring system.
利用递推最小二乘法进行了系统系数辨识，并引入遗忘因子以提高TCS的模型跟踪性能。
System parameters were identified by adapting recursion least square method, and the forgetting factor was introduced to improve the model tracing ability of TCS.
该文提出一种用于复杂的非线性未知系统辨识的混合神经网络模型—自适应模糊神经网络(AFNN)。
This paper presents a compound neural network model, i. e., adaptive fuzzy neural network (AFNN), which can be used for identifying the complicated nonlinear system.
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。
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.
文中首先提出了这种解决盲辨识问题的算法，然后利用辨识出的系统模型恢复了源输入信号。
This paper concern blind inverse problem arithmetic firstly, then restore the source signal by using system model which has been identified.
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.
无论是理想的数学模型还是实际工业模型，计算机仿真结果均证明，将P ID型网络用于动态系统辨识具有更好的逼近效果。
Simulation results based on ideal mathematical model and industrial model show that the PID Elman network is prior to the modified Elman network in identification of nonlinear dynamic systems.
这种包含系统噪声的离散状态空间模型的建立，为网络化控制系统的准确辨识和有效控制奠定了基础。
The building of discrete state-space models including system noise provides a basis for the exact identification and effective control.
提出了一种基于最小二乘的多变量系统阶跃响应的模型辨识方法。
A model identification method on multivariate system step response based on least Square is given out.
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.
讨论了利用仅含一个隐层的前馈多层神经网络来辨识离散时间非线性动态系统时的模型检验问题。
This paper investigates the problem of the model validation in identifying discrete-time-nonlinear dynamic systems by using neural networks with a single hidden layer.
本文以小波网络和多模型理论为基础，对复杂非线性动态系统的辨识和控制方法进行了研究。
Based on wavelet networks and multiple model adaptive control theories, the identification and control methods for the complicated nonlinear dynamic systems are proposed.
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.
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.
给出了一个利用方波脉冲函数辨识过水系统输入—输出模型的简易数值解法。
An easy numerical algorithm is derived by means of the identification for input-output model of water-carriage system via a block pulse functions.
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.
研究了基于积分最小二乘指标的SISO时滞系统频域辨识与频域模型降阶问题。
Based on the integral least_squares index, a new approach to frequency_domain identification and model reduction of SISO systems with delay is proposed.
从车辆的转向动力学和预瞄运动学特性出发，结合转向系统的系统辨识，建立了车辆转向系统的线性模型。
This paper establishes a linear model for vehicle steering system based on vehicle steering dynamics and per-view kinematics, combined with system identification of steering system.
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.
由SVM辨识非线性系统的逆模型作为前馈控制器，形成直接逆控制。
SVM were used to identify the inverse model of nonlinear system, and this inverse model was used as feed-forward controller to design direct inverse control.
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.
本文研究了一类非线性分布参数系统的模型辨识及其状态观测器的设计方法，为这类系统的研究提供了新的途径。
A method of identification and state observer design of a nonlinear distributed parameter system is studied in this paper. A new approach for this kind of systems is proposed.
应用灰箱辨识软件对车辆系统的灰箱模型辨识进行了仿真研究和实验室试验验证，证明了所提出方案是可行和有效的。
Grey box model identification for railway cars system is simulated and tested in laboratory by grey box software tools, it is proved that the scheme is feasible and valid.
本文介绍通过系统辨识方法建立换热器的动态模型。
In this paper, the dynamic model of a heat exchanger is established through an identification experiment.
在水力系统线性化模型辨识方面，本文提出了使用给定功率阶跃扰动下实测数据进行辨识的方法。
In hydraulic system linear models identification, a method using field test data under step disturbance of given power has been proposed in this thesis.
系统辨识是通过试验来建立系统模型的一种归纳方法。
System identification is a method of induction for the creation of system models through experiments.
系统辨识是通过试验来建立系统模型的一种归纳方法。
System identification is a method of induction for the creation of system models through experiments.
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