Title :
On structure identification of parallel Wiener-Hammerstein models
Author :
Emara-Shabaik, Hosam E. ; Moustafa, Kamal A F ; Talaq, Jaleel H S
Author_Institution :
Dept. of Syst. Eng., King Fahd Univ. of Pet. & Miner., Dhahran, Saudi Arabia
Abstract :
In this paper, models composed of parallel branches of the Wiener-Hammerstein type are studied. Using a zero-mean stationary white Gaussian sequence as input to such models, their structure can be identified by considering the bispectrum of the output sequence. Simulation examples are included to illustrate the results of the paper
Keywords :
Gaussian processes; identification; nonlinear systems; bispectrum; nonlinear model; output sequence; parallel Wiener-Hammerstein models; structure identification; zero-mean stationary white Gaussian sequence; Gaussian processes; Identification; Nonlinear systems;
Conference_Titel :
Control Applications, 1994., Proceedings of the Third IEEE Conference on
Conference_Location :
Glasgow
Print_ISBN :
0-7803-1872-2
DOI :
10.1109/CCA.1994.381460
