Title :
The use of feedforward neural networks to cancel nonlinearities of dynamic systems
Author :
Teixeira, Edilberto P. ; Faria, Elmo B. ; Breunig, Adriano
Author_Institution :
Univ. Federal de Uberlandia, Brazil
Abstract :
This work presents the experimental results of a nonlinear system subject to feedback linearization using artificial neural networks. The linearization function is directly estimated from actual input-output data
Keywords :
control nonlinearities; feedback; feedforward neural nets; linearisation techniques; nonlinear control systems; nonlinear dynamical systems; artificial neural networks; dynamic systems; feedforward neural networks; nonlinearities; Artificial neural networks; Feedforward neural networks; Linear systems; Neural networks; Neurofeedback; Nonlinear dynamical systems; Nonlinear equations; Nonlinear systems; Output feedback; State feedback;
Conference_Titel :
Neural Networks,1997., International Conference on
Conference_Location :
Houston, TX
Print_ISBN :
0-7803-4122-8
DOI :
10.1109/ICNN.1997.616119
