A soft sensor modeling method is presented which selects optimal fuzzy rules by tuning the radius of a subtractive cluster center.
提出了一种通过调整减法聚类半径优选模糊规则的软测量建模方法。
Finally, the dissertation is concluded with a summary and discussions of the problems for further research and exploration on soft-sensor modeling technique.
最后，在总结全文的基础上，探讨了软测量建模技术有待进一步研究和探讨的问题。
In this paper, a new approach to sensor modeling based on RBF neural network is described. The construction of the neural network is simple and astringency is effective.
介绍了基于RBF神经网络的传感器建模新方法，其网络结构简单、收敛性好。
In this paper, soft sensor modeling method based on Least Square SVM (LS SVM) is proposed, and cross validation method is used to select hyper-parameter of LS SVM model.
本文研究了基于最小二乘支持向量机的软测量建模方法，并用交叉验证的方法进行支持向量机参数选择。
When introducing the hierarchical fuzzy system in soft sensor modeling, the rational structure of the fuzzy system is very important to the performance of the soft sensor model.
在采用递阶模糊系统进行软测量建模时，合理的模糊系统结构对于提高模型的性能具有重要的意义。
Based on observer method, an algorithm of actuator fault detection and diagnosis is presented for a class of nonlinear control systems with system modeling errors and sensor modeling uncertainties.
针对一类具有系统建模误差以及含传感器模型不确定项的非线性控制系统，本文提出了一种用于执行器故障检测与诊断的观测器方法。
Based on observer method, an algorithm of actuator fault detection and diagnosis is presented for a class of nonlinear control systems with system modeling errors and sensor modeling uncertainties.
针对一类具有系统建模误差以及含传感器模型不确定项的非线性控制系统，本文提出了一种用于执行器故障检测与诊断的观测器方法。
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