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
fDate :
30 May-2 Jun 1994
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;
Conference_Titel :
Circuits and Systems, 1994. ISCAS '94., 1994 IEEE International Symposium on
Conference_Location :
London
Print_ISBN :
0-7803-1915-X
DOI :
10.1109/ISCAS.1994.409558
