A generalized predictive control method based on an ARMAX model is suggeste
d for chaos control in discrete-time systems. Both control performance and
system sensitivity to initial conditions of this approach are compared with
the conventional model-referenced adaptive control via numerical simulatio
ns. Simulation results show that this controller yields faster settling tim
e, more accurate target tracking, and less initial sensitivity.