DocumentCode
3441337
Title
On estimation of nonlinear systems by nonparametric techniques
Author
Krzyzak, Adam ; Unbehauen, Rolf
Author_Institution
Dept. of Comput. Sci., Concordia Univ., Montreal, Que., Canada
Volume
6
fYear
1994
fDate
30 May-2 Jun 1994
Firstpage
189
Abstract
In the paper the estimation of block oriented systems is discussed. Particular attention is devoted to memoryless and dynamical systems with cascade structure. An optimal model of a memoryless cascade system is given and estimated by the kernel regression estimate. Nonlinear dynamical systems of the Hammerstein and Wiener type are estimated by means of nonparametric techniques. The convergence of estimation procedures is investigated
Keywords
cascade systems; convergence of numerical methods; estimation theory; identification; nonlinear dynamical systems; nonlinear systems; block oriented systems; cascade structure; convergence; dynamical systems; kernel regression estimate; memoryless systems; nonlinear system estimation; nonparametric techniques; optimal model; Bifurcation; Chaos; Computer science; Convergence; Differential equations; Kernel; Linearity; Memoryless systems; Nonlinear dynamical systems; Nonlinear systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 1994. ISCAS '94., 1994 IEEE International Symposium on
Conference_Location
London
Print_ISBN
0-7803-1915-X
Type
conf
DOI
10.1109/ISCAS.1994.409558
Filename
409558
Link To Document