New Improved FLANN Approach for Dynamic Modeling of Sensors

摘要：

An improved functional link artificial neural networks (FLANN) is presented and applied to the dynamic modeling for sensors.Compared with the traditional FLANN method,the improved FLANN method differs greatly in the calculation of partial derivatives of the weighting parameters and the dynamic model’s output because the dependence of the past dynamic model’s output on the parameters is fully considered.Thus a more accurate evaluation of the gradient and a faster iteration process can be obtained.The simulation and experimental results of the infrared temperature sensor’s dynamic modeling show that the improved FLANN method has higher convergence rate and more robustness.

关键词： sensors dynamic modeling FLANN identification

作者: Song-ling Huang Kuan-sheng Hao Wei Zhao

作者单位: Department of Electrical EngineeringTsinghua University,Beijing,China Department of Electrical Engineering Tsinghua University,Beijing,China

会议类型: 国际会议

会议名称: International Conference on Modelling,Identification and Control(模拟、鉴定、控制国际会议)

会议地点: 上海

会议语种:英文

在线出版日期: 2008-06-29（万方平台首次上网日期，不代表论文的发表时间）