Funder
Natural Science Foundation of Jiangsu Province
National Natural Science Foundation of China
National Key Research and Development Program of China
Reference36 articles.
1. State estimation for a chemostat model by the unscented Kalman filtering approach;Abdelkader;Electroteh. Electronica Autom.,2017
2. An efficient multiple particle filter based on the variational Bayesian approach;Ait-El-Fquih,2015
3. Fast Kalman-like filtering for large-dimensional linear and Gaussian state-space models;Ait-El-Fquih;IEEE Trans. Signal Process.,2015
4. Benchmark Simulation Model No. 1 (BSM1);Alex,2008
5. State and coefficients estimation for the activated sludge process using a modified Kalman filter algorithm;Ayesa;Water Sci. Technol.,1991