Control constraints in weaker norm

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I've just a short question (at least I think so):

I want to study optimal control problems of the form:

$\min_{\omega\in L^2(\Omega)} J(\omega)+\frac{\epsilon}{2} \|\omega\|^2_{L^2{\Omega}}$

s.t.

$\omega\geq 0 ~a.e.$, $\|\omega\|_{L^1(\Omega)}\leq 1$

where $\Omega$ is an open and bounded subset of $R^d$ and $J(\omega)$ is a convex functional with $J(\omega)\geq 0$ for admissible $\omega$. I'm especially interessted in the structure of the (unique) optimal solution in dependance of $\epsilon$.

My question(just for curiosity) : Are there any works on control problems, where control constraints in a weaker norm are given( like in this case, controls from $L^2(\Omega)$ and control constraints in the $L^1$ Norm)? I'm looking for this quite some time,but couldn't find anything. Thanks a lot.