No, there isn't one. This isn't actually a Matlab limitation, but rather a statistical one, because there simply isn't a clear nonparametric analog of ANOVA. One reason is that interactions in ANOVA reflect differences in differences, but these aren't at all meaningful with nonparametric data.
One thing people often do is to convert all of the original scores to ranks and then do ANOVA on the ranks. That can work pretty well if the problem with the original data is that there are a few really extreme scores that would unduly influence their condition means.
Probably more commonly, people just ignore the normality requirement and rely on the fact that ANOVA is pretty robust to violations of this assumption.
