1) Dynamic model identification
动态模型辨识
2) dynamic identification condition
模型动态辨识条件
3) Identifying dynamic hysteresis model
迟滞动态模型辨识
4) static model identification
静态模型辨识
5) modal identification
模态辨识
1.
Experimental results show that the proposed model effectively eliminates the cross interference of oil/water emulsion modal,temperature and salinity content,overcomes the nonlinearity of sensor itself,realizes the modal identification of oil-water mixture via fuzzy reasoning and self-learning,and adjusts the model parameters by changing working conditions adaptively.
实验结果表明,该模型在很大程度上解决了油水乳化液模态、温度、矿化度等因素的交叉影响及传感器自身非线性的校正问题,可通过模糊推理与自学习实现油水混合模态辨识,并根据工况的变化调整测量模型参数,有效地提高了原油含水率宽量程在线智能测量的精度。
6) Dynamic identification
动态辨识
1.
Based on improved particle swarm optimization(IPSO),and the study of the nonlinear-dynamic identification of Elman neural network,a new algorithm was presented,in which IPSO algorithm was combined with the Elman network.
工程实例分析表明,IPSO-Elamn算法在桩筏(箱)基础沉降的非线性系统动态辨识和在线预测应用方面,具有良好的预测精度,满足工程实际需要。
补充资料：参数估计(见动态系统辨识)
参数估计(见动态系统辨识)
parameter estimation
CQ门sJ，日g七了J{参数估计(Parameter郎timation)理论和动态系统辫识见估计
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条