@article{oai:ir.kagoshima-u.ac.jp:00004333,
 author = {八野, 知博 and HACHINO, Tomohiro and 岡江, 祥男 and OKAE, Yoshio and 高田, 等 and TAKATA, Hitoshi},
 journal = {鹿児島大学工学部研究報告, The research reports of the Faculty of Engineering, Kagoshima University},
 month = {Oct},
 note = {In this paper an identification method of continuous-time Hammerstein systems is proposed by using automatic choosing function (ACF) model and particle swarm optimization (PSO). An unknown nonlinear static part to be estimated is approximately represented by the ACF model. The weighting parameters of the ACF and the system parameters of the linear dynamic part are estimated by the least-squares method, while the adjusting parameters of the ACF model structure are determined by PSO. Simulation results are shown to illustrate the proposed method.},
 pages = {45--50},
 title = {自動抽出関数モデルとPSOによる連続時間Hammersteinシステムの同定},
 volume = {51},
 year = {2009}
}