Change detection for nonlinear systems; a particle filtering approach

@inproceedings{citeulike:2776187, abstract = {We present a change detection method for nonlinear stochastic systems based on projection particle filtering. The statistic for this method is chosen in such a way that it can be calculated recursively while the computational complexity of the method remains constant with respect to time. We present some simulation results that show the advantages of this method compared to linearization techniques.}, author = {Azimi-Sadjadi, B. and Krishnaprasad, P. S. }, booktitle = {American Control Conference, 2002. Proceedings of the 2002}, citeulike-article-id = {2776187}, doi = {10.1109/ACC.2002.1024567}, journal = {American Control Conference, 2002. Proceedings of the 2002}, keywords = {detection, filter, nonlinear, particle}, pages = {4074--4079 vol.5}, posted-at = {2008-05-09 16:45:20}, priority = {2}, title = {Change detection for nonlinear systems; a particle filtering approach}, url = {http://dx.doi.org/10.1109/ACC.2002.1024567}, volume = {5}, year = {2002} }

TY - CONF ID - citeulike:2776187 L3 - citeulike-article-id:2776187 TI - Change detection for nonlinear systems; a particle filtering approach T2 - American Control Conference, 2002. Proceedings of the 2002 JF - American Control Conference, 2002. Proceedings of the 2002 VL - 5 SP - 4074 EP - 4079 vol.5 N2 - We present a change detection method for nonlinear stochastic systems based on projection particle filtering. The statistic for this method is chosen in such a way that it can be calculated recursively while the computational complexity of the method remains constant with respect to time. We present some simulation results that show the advantages of this method compared to linearization techniques. KW - detection KW - filter KW - nonlinear KW - particle AU - Azimi-Sadjadi, B AU - Krishnaprasad, PS PY - 2002/// UR - http://dx.doi.org/10.1109/ACC.2002.1024567 ER -