Extraction of system dynamics of a nonlinear system using neural networks

Author

Gupta, J.R.P. ; Singh, M. ; Srivastava, S. ; Handmandlu, M.

Author_Institution

NSIT, New Delhi

Volume

2

fYear

2004

fDate

1-3 Dec. 2004

Firstpage

1347

Lastpage

1351

Abstract

The present paper discusses an important issue of control engineering i.e. the extraction of system dynamics of a nonlinear system. For this a novel method based on neural network model has been developed which makes the task of calculating the system parameters simple in comparison to the methods reported so far for the extraction of system dynamics of a nonlinear system. Further the parameter obtained by this method has been used for getting the system theoretic properties in terms of stability, controllability and observability and has been compared with that obtained using other methods

Keywords

controllability; neural nets; nonlinear control systems; observability; stability; control engineering; controllability; neural network model; nonlinear system; observability; stability; system dynamics extraction; system parameter calculation; Continuous time systems; Control engineering; Controllability; Neural networks; Nonlinear control systems; Nonlinear dynamical systems; Nonlinear equations; Nonlinear systems; Observability; Stability;

fLanguage

English

Publisher

ieee

Conference_Titel

Cybernetics and Intelligent Systems, 2004 IEEE Conference on

Conference_Location

Singapore

Print_ISBN

0-7803-8643-4

Type

conf

DOI

10.1109/ICCIS.2004.1460788

Filename

1460788