COMPARISON OF SOME NEURAL CONTROL STRUCTURES FOR NONLINEAR SYSTEMS

Volume: 
Volume 08
Abstract 

This paper deals with comparing of selected structures of neural controllers for nonlinear systems control. Following control structures with neural models have been selected: Robust direct inverse
control, Internal model control and Predictive control. For the purpose of neural control structures a direct and inverse neural model of a nonlinear dynamic system using three-layer perceptron network
was created. The performance tests for particular controllers were realized in the simulation environment Matlab/Simulink using selected types of nonlinear dynamic processes.

Author 
Slavomir Kajan