Fractional Model Based Kalman Filters for Angular Rate Estimation in Vestibular Systems

摘要：

The work presents the development and application of Bayesian recursive estimators such as Kalman filters for fractional models. Both linear and nonlinear fractional models, describing the relationship between the applied angular rate and the measured neuron firing rate in a vestibular system are used as benchmark problems for testing the proposed filtering schemes. The performance of the estimators is assessed both with respect to the approximation parameters and the filtering methods.

作者: Michailas Romanovas Lasse Klingbeil Martin Traechtler Yiannos Manoli

作者单位: Hahn-Schickard-Gesellschaft Institute of Microsystems and Information Technology (HSG-IMIT) Wilhelm- Hahn-Schickard-Gesellschaft Institute of Microsystems and Information Technology (HSG-IMIT) Wilhelm-

会议类型: 国际会议

会议名称: 2010 IEEE 10th International Conference on Signal Processing(第十届信号处理国际会议 ICSP 2010)

会议地点: 北京

会议语种:英文

页码: 1726-1729

在线出版日期: 2010-08-24（万方平台首次上网日期，不代表论文的发表时间）