Title :
Neural network α-th order inverse system method for the control of nonlinear continuous systems
Author :
Dai, X. ; Liu, J. ; Feng, C. ; He, D.
Author_Institution :
Dept. of Autom. Control Eng., Southeast Univ., Nanjing, China
fDate :
11/1/1998 12:00:00 AM
Abstract :
The ANN α-th order inverse system is composed of a single static artificial neural network and several integrators. By combining the α-th order inverse system with an additional linear controller designed according to conventional theory of linear continuous systems, a composite control method is formed and the effective control of the original system can be completed. Simulation results show that this method applies to general linear or nonlinear continuous systems with simple construction of the controller for easy implementation
Keywords :
inverse problems; neurocontrollers; nonlinear control systems; composite control method; integrators; linear continuous systems; neural network α-th order inverse system method; nonlinear continuous system control; static artificial neural network;
Journal_Title :
Control Theory and Applications, IEE Proceedings -
DOI :
10.1049/ip-cta:19982411