Title :
Nonparametric approach to identification of Hammerstein and Wiener systems
Author :
Chen, Han-Fu ; Hu, Xiao-Li
Author_Institution :
Inst. of Syst. Sci., Chinese Acad. of Sci., Beijing, China
Abstract :
Recursive identification algorithms are given for Hammerstein and Wiener systems with nonparametric nonlinearity f(·). All estimates derived from the algorithms for coefficients of the linear subsystem and for f(u) for any fixed u are strongly consistent.
Keywords :
control nonlinearities; identification; linear systems; nonparametric statistics; stochastic systems; Hammerstein system identification; Wiener system identification; linear subsystem; nonparametric nonlinearity; recursive identification algorithm; Iterative methods; Linear systems; Mathematics; Nonlinear systems; Optimization methods; Parameter estimation; Piecewise linear techniques; Polynomials; Recursive estimation; Stochastic systems; Hammerstein system; Wiener system; nonparametric nonlinearity; recursive estimate; stochastic approximation; strong consistency;
Conference_Titel :
Control and Automation, 2005. ICCA '05. International Conference on
Print_ISBN :
0-7803-9137-3
DOI :
10.1109/ICCA.2005.1528092
