A method for time-discretization of nonlinear continuous time systems is pr
oposed. The technique utilizes the method of functional expansions to yield
nonlinear discrete models of continuous nonlinear state space realizations
. Because the accuracy of the method is maintained at large sampling times
the method is applicable to systems where a rapid sampling rate is not poss
ible due to physical constraints. Additionally the stability properties of
the discretization scheme makes the technique suitable for stiff systems. S
everal other discretization methods are reviewed and two case studies are i
nvestigated to assess the open and closed-loop performance of various discr
etization methods.