Title :
Neural network-based control of nonlinear dynamical systems
Author :
Ren, Xuemei ; Huo, Wei
Author_Institution :
Beijing Univ. of Aeronaut. & Astronaut., China
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;
Conference_Titel :
American Control Conference, Proceedings of the 1995
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-2445-5
DOI :
10.1109/ACC.1995.532738
