Title :
Identification of Hammerstein models using genetic algorithms
Author_Institution :
Dept. of Electr. Eng., Xinjiang Inst. of Technol., China
fDate :
11/1/1999 12:00:00 AM
Abstract :
The application of genetic algorithms to the identification of the Hammerstein model is studied. The method uses piecewise linear, and not a polynomial, to approximate the memoryless nonlinear characterisation. Numerical simulation results provided show the efficiency of the method
Keywords :
genetic algorithms; identification; memoryless systems; nonlinear dynamical systems; Hammerstein model; genetic algorithms; identification; memoryless systems; nonlinear dynamical systems; piecewise linear;
Journal_Title :
Control Theory and Applications, IEE Proceedings -
DOI :
10.1049/ip-cta:19990437
