DocumentCode
2339557
Title
Neural network-based control of nonlinear dynamical systems
Author
Ren, Xuemei ; Huo, Wei
Author_Institution
Beijing Univ. of Aeronaut. & Astronaut., China
Volume
6
fYear
1995
fDate
21-23 Jun 1995
Firstpage
4263
Abstract
This paper investigates neural network controllers to achieve output tracking for a class of SISO nonlinear systems. A discrete-time control strategy is introduced by means of employing the neural networks for direct on-line estimation of the required feedforward control input. The parameters of the networks are updated according to a modified backpropagation algorithm. Under appropriate conditions the stability of the neural network control system is rigorously analysed
Keywords
backpropagation; discrete time systems; neurocontrollers; nonlinear control systems; nonlinear dynamical systems; stability; SISO nonlinear systems; discrete-time control strategy; feedforward control; modified backpropagation algorithm; neural network-based control; nonlinear dynamical systems; output tracking; stability; Approximation error; Control systems; Equations; Error correction; Multi-layer neural network; Neural networks; Nonlinear control systems; Nonlinear dynamical systems; Nonlinear systems; Stability analysis;
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.1995.532738
Filename
532738
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