针对带有未知有界噪声的非线性动态系统的鲁棒辨识问题，提出了一种新的非线性动态系统的集员辨识算法。
A new set membership identification algorithm was proposed for the robust identification problem of nonlinear dynamic systems with unknown but bounded noises.
提出了一砷能有效地对直升机模型进行辨识的鲁棒选择模型的新方法。
To identification the model structures of helicopter efficiently, a new robust criterion for model structure selection is developed.
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.
对时序数据建模与辨识技术进行了分析，提出了使用鲁棒LS-SVM算法建立ARMA时序预测模型。
Time series modeling and identification techniques were analyzed and the ARMA time series model based on robust LS-SVM algorithm was proposed.
针对一类多输入多输出不确定非线性系统，提出一种基于模糊辨识的混合鲁棒自适应控制方法。
A hybrid robust adaptive control based on fuzzy identification for a class of multiple-input -multiple-output nonlinear systems was proposed with plant unknown and external disturbances.
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.
在神经网络辨识的基础上，提出一种新的鲁棒迭代学习控制方法。
Using identification of neural networks, a new method of robust iterative learning control algorithm is proposed in the paper.
融合预报协方差矩阵的自适应调整和状态空间鲁棒性估计，给出辨识戴维南等值参数的新算法。
Based on the robust estimation in the state-space and the adaptive modification of prediction covariance matrix, a new algorithm was proposed to track Thevenin equivalent parameters.
仿真结果表明，该辨识方法具有良好的逼近能力且自适应逆控制系统具有良好的鲁棒性。
Simulation results show that this identification method has excellent approximation ability, and system of adaptive inverse control has good robustness and performance.
为了实现神经网络预测模型的鲁棒预测，提出一种基于非线性偏自相关的一般化预测模型辨识方法。
To solve the problem of the robust prediction of neural networks, the paper proposed a universal method of nonlinear model identification.
在转速辨识过程中，应用了具有较好动态性能和鲁棒性的变参数PI算法。
In the process of rotor speed identification, the variable parameters PI mechanism, which has good dynamic and static performance and robustness are used.
讨论系统辨识神经网络算法的鲁棒性问题。
In this paper, the problem on robust learning algorithm of the neural networks for system identification is discussed.
该系统具有较高的伺服跟踪精度和较强的鲁棒性，无需在线辨识。
It avoids identifying parmeter on line and can give a rather accurate servo tracking result and is fairly robust to system parameter variation and load disturbance.
与基于统计理论的传统辨识方法相比，该方法提高了辨识精度，加快了辨识速度且具有较高的鲁棒性。
Compared with the traditional method which is based on statistic theory, the new method can enhance identification accuracy, speed and robustness.
结果表明，利用递推算法进行转速辨识成本低，可靠性、鲁棒性高；提出的阻尼控制策略有效可行。
The results show that the speed identification with RLS algorithm has low cost and high reliability and robustness, and the damping control strategy proposed is effective and feasible.
仿真结果表明，所提出的无网侧电动势传感器控制技术具有良好的辨识速度，且辨识精度高，系统鲁棒性强。
Simulation results show that the designed source voltage sensorless control technology has a good recognition rate, and high identification precision, a strong robustness.
该方法对噪声鲁棒性好，能准确辨识各复合振荡模式，有助于电力系统强非线性模式分析，便于在线监测应用。
The proposed method can identify composite modes and strongly time-varying modes accurately with good noise robustness, catering for online analysis.
该方法对噪声鲁棒性好，能准确辨识各复合振荡模式，有助于电力系统强非线性模式分析，便于在线监测应用。
The proposed method can identify composite modes and strongly time-varying modes accurately with good noise robustness, catering for online analysis.
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