Title :
Recursive subspace identification method for Hammerstein systems
Author :
Chen Xi ; Fang Haitao
Author_Institution :
Key Lab. of Syst. & control, Acad. of Math. & Syst. Sci., Beijing, China
Abstract :
In this paper, the subspace methods for Hammerstein systems in state-space form are considered. In open loop case, a subspace identification method is given for Hammerstein systems, in which the nonlinear static function can be expressed as a linear combination of finite basis functions, and the recursive version of this method is also given. In mild conditions, we can show that the method given in this paper is consistency in some sense. A numerical example is given to show the performance of this method.
Keywords :
MIMO systems; nonlinear control systems; nonlinear functions; open loop systems; recursive estimation; state-space methods; Hammerstein system; finite basis function; nonlinear static function; recursive subspace identification method; state space method; Aerospace electronics; Algorithm design and analysis; Eigenvalues and eigenfunctions; Estimation; MIMO; Noise; Nonlinear systems; Hammerstein Systems; Recursive method; Subspace methods;
Conference_Titel :
Control Conference (CCC), 2010 29th Chinese
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-6263-6