DocumentCode
300549
Title
Reconstruction of nonlinear systems using delay lines and feedforward networks
Author
Elliott, David L.
Author_Institution
Inst. for Syst. Res., Maryland Univ., College Park, MD, USA
Volume
1
fYear
1995
fDate
21-23 Jun 1995
Firstpage
867
Abstract
Nonlinear system theory ideas have led to a method for approximating the dynamics of a nonlinear system in a bounded region of its state space, by training a feedforward neural network which is then reconfigured in recursive mode to provide a stand-alone simulator of the system. The input layer of the neural network contains time-delayed samples of one or more system outputs and control inputs. Autonomous systems can be simulated in this way by providing impulse inputs
Keywords
delays; dynamics; feedforward neural nets; identification; nonlinear systems; state-space methods; delay lines; dynamics; feedforward neural networks; identification; nonlinear system reconstruction; recursive mode; state space; time-delayed samples; Adaptive filters; Computer networks; Concurrent computing; Delay lines; Feedforward neural networks; Linear systems; Neural networks; Nonlinear filters; Nonlinear systems; Polynomials;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, Proceedings of the 1995
Conference_Location
Seattle, WA
Print_ISBN
0-7803-2445-5
Type
conf
DOI
10.1109/ACC.1995.529372
Filename
529372
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