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1)  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。
2)  Dynamic model identification
动态模型辨识
3)  dynamic identifying parameter
动态辨识参数
4)  dynamic system identification
动态系统辨识
1.
To improve the performances of dynamic system identification,a new method to formulate scaling kernel function for support vector machine was proposed.
为了提高非线性动态系统辨识质量,提出了新的支持向量机尺度核函数构造方法。
2.
This method is based on combining dynamic system identification with time series analysis.
采用非传统方法——现代控制理论中的动态系统辨识理论与时间序列分析相结合的方法对长江口北槽人工航道淤积过程作探讨、建模及预报,从得到的动态数学模型的模拟结果、预报结果看,与实际情况相吻,说明此尝试是成功的。
5)  Condition recognition
状态辨识
1.
Traffic flow condition recognition is one of the important issues of Intelligent TransportationSystems (ITS), especially for its Advanced Traffic Management Systems (ATMS) and AdvancedTraveler Information Systems (ATIS) research.
交通流状态辨识的主要作用是及时准确地识别当前和未来交通流状况,实施合理有效的交通管控和诱导措施,及时处理事件,减少人员伤亡和财产损失,诱导驾驶员行为并使交通流避开拥挤区域,达到平稳交通流、减轻拥挤区域交通压力、节约能源、减少污染的目的。
6)  state identification
状态辨识
1.
Aimed at the speed close loop control system,adaptive tracing approximate control strategy based on double modulus state identification is proposed,and the simulation results using the circle flux path are given.
分析了直接转矩控制的原理,提出了反转工作电压的概念和在线选取电压空间矢量的方法,针对转速闭环控制提出了双模状态辨识跟随逼近式控制策略,给出了按圆形轨迹控制的仿真结果。
2.
In this paper, the excitation principle and operating characteristics ofasynchronized turbogenerators are analyzed,and adaptive tracing iterative control strategy based on state identification is proposed.
分析了异步化汽轮发电机的励磁控制原理和运行特性,提出状态辨识适应式跟随迭代控制策略。
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

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