Variable parameter PID control for the controlled object is designed by the method of segment linearization. Furthermore, T-S model based fuzzy PID control strategy is put forward.
通过分析被控对象的特性，采用分段线性化的方法设计变参数PID控制器，进而给出基于T-S模型的模糊PID控制策略；
The algorithm adopts the line' s model of distributing parameter, uses two-end data and six-order component and considers the problem to identifying inaccurate parameter.
算法采用分布参数线路模型，利用了双端数据和六序分量法，并考虑了对不准确线路参数识别的问题。
In the paper online identification based on time window and least square support vector machine (LSSVM) for T-S model is proposed, including structure and parameter identification.
本文提出了基于时间窗的最小二乘支持向量机t - S模型在线辨识算法，包括结构辨识和参数辨识。
Take model of drill pipe frame as a example, experimental modal based on ODS s testing method is studied and the modal parameter is distinguished and the testing results are analyzed.
以钻架模型为实例，研究了其ODS测试方法试验模态，识别其模态参数，分析其测试结果。
Take model of drill pipe frame as a example, experimental modal based on ODS s testing method is studied and the modal parameter is distinguished and the testing results are analyzed.
以钻架模型为实例，研究了其ODS测试方法试验模态，识别其模态参数，分析其测试结果。
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