Linear-quadratic stochastic optimal control problem with incomplete information and uncertain noise statistics

Author(s):  
Gregory Miller ◽  
Alexey Pankov
Author(s):  
Tomas Björk

We study a general stochastic optimal control problem within the framework of a controlled SDE. This problem is studied using dynamic programming and we derive the Hamilton–Jacobi–Bellman PDE. By stating and proving a verification theorem we show that solving this PDE is equivalent to solving the control problem. As an example the theory is then applied to the linear quadratic regulator.


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