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Such optimization problems are called stochastic optimal control problems.
Oskouei and Yazdankhah [22] presented a scenario-based stochastic optimal operation for iteration-based optimization of wind, solar, and pumped-storage electricity prices.
The nonlinear stochastic optimal control theory is one of the optimization fundamentals with plethora of applications in several domains, see [13] and [14].
The suspension is optimized with respect to ride comfort and road holding, using stochastic optimal control theory.
Stochastic optimal control problems have been studied by many authors.
The Fokker-Planck equation is a classical method to handle stochastic optimal harvesting policy [25].
The implicit complementarity problem was defined in connection with stochastic optimal control [7, 8].
In this paper, we study the recursive stochastic optimal control problems.
The classical stochastic optimal control problem is to minimize J u over (mathcal {U}[0,T]).
So it is natural to extend the classical stochastic optimal control problem to the recursive case.
In (Bismut 1973), he applied linear BSDEs to stochastic optimal control.
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