Talk:Stochastic control

In the first paragraph, it states:

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Stochastic control is a subfield of control theory which deals with the existence of uncertainty in the data. The designer assumes, in a Bayesian probability-driven fashion, that a random noise with known probability distribution affects the state evolution and the observation of the controllers. Stochastic control aims to design the optimal controller that performs the desired control task with minimum average cost despite the presence of these noises.^[1]

The existence of an error process does not obviate the need for the Bayesian paradigm, unless one prefers some kind of informative prior--but assuming that one prefers or needs one is, well, Bayesian.Izmirlig (talk)