  Behavioral theory, which characterizes linear dynamics with measured
trajectories, has found successful applications in controller design and signal
processing. However, the extension of behavioral theory to general nonlinear
system remains an open question. In this work, we propose to apply behavioral
theory to a reproducing kernel Hilbert space in order to extend its application
to a class of nonlinear systems and we show its application in prediction and
in predictive control.
