A set membership identification approach is provided to deal with the problem of fault detection of systems with models not precisely known. 為了處理數學(xué)模型不精確已知系統的故障檢測問(wèn)題,給出了一種故障檢測的集員辨識方法。
Since the result of the estimation was a set of the weights of the RBF network, it could be easily used to predict the interval of the practical system output. 由于集員辨識算法所得到的是網(wǎng)絡(luò )輸出權值的集合估計,在系統運行過(guò)程中,可以很方便地利用所建模型預測實(shí)際系統的輸出范圍。