Title :
Self-tuning control of bilinear systems
Author :
Farsi, M. ; Abdulaziz, A.
Author_Institution :
Dept. of Electr. & Electron. Eng., Newcastle upon Tyne Univ., UK
Abstract :
The paper deals with self-tuning control of Hammerstein type bilinear systems that contain linear parameters and a nonlinear quasi-input function of the real input signal. The linear part of the system is controlled using linear controllers, whilst a neural feedforward net is employed to estimate the nonlinearity. The performance of the controller is illustrated by a hybrid algorithm simulation
Keywords :
bilinear systems; feedforward neural nets; Hammerstein type bilinear systems; hybrid algorithm simulation; linear controllers; linear parameters; neural feedforward net; nonlinear quasi-input function; nonlinearity estimation; self-tuning control; Bilinear systems; Feedforward neural networks; Linear systems; Neural network applications;
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.1994.381410
