$\dot y(t)=f(y(t),u(t))$, $y(t)\in\mathbb R^n$, $u(t)\in U\subset \mathbb R^m$.
However, suitable assumptions are needed relating $f$
with the running and exit costs.
The semiconcavity property is then applied to obtain
necessary optimality conditions,
through the formulation of a suitable version of the
Maximum Principle, and
to study the singular set of the value function.
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