Abstract:
The thesis presents a quick overview of Model Reference Adaptive Control
(MRAC). The thesis presents model reference based neural network structure that
can be used for adaptive control of linear and nonlinear processes. The proposed
MRAC neural network scheme is simulated to control the movement of a simple,
single-link robot arm. The simulation results show that neural network based
MRAC can give satisfactory performance requirements
