DocumentCode
880109
Title
Control of nonlinear dynamical systems using neural networks: controllability and stabilization
Author
Levin, Asriel U. ; Narendra, Kumpati S.
Author_Institution
Dept. of Comput. Sci. & Electr. Eng., Oregon Graduate Inst. of Sci. & Technol., Klamath Falls, OR, USA
Volume
4
Issue
2
fYear
1993
fDate
3/1/1993 12:00:00 AM
Firstpage
192
Lastpage
206
Abstract
An attempt is made to indicate how practically viable controllers can be designed using neural networks, based on results in nonlinear control theory. The problem of stabilization of a dynamical system around an equilibrium point when the state of the system is accessible is considered. Simulation results are included to complement the theoretical discussions
Keywords
control system synthesis; controllability; neural nets; nonlinear control systems; stability; control system synthesis; controllability; equilibrium point; neural networks; nonlinear control theory; nonlinear dynamical systems; stabilization; Control system synthesis; Control systems; Control theory; Controllability; Multi-layer neural network; Network synthesis; Neural networks; Nonlinear control systems; Nonlinear dynamical systems; Nonlinear systems;
fLanguage
English
Journal_Title
Neural Networks, IEEE Transactions on
Publisher
ieee
ISSN
1045-9227
Type
jour
DOI
10.1109/72.207608
Filename
207608
Link To Document