Computationally expedient openloop stochastic control

A stochastic control solution based on a quadratic criterion and a linear model with serially correlated coefficients that evolve according to a multivariate autoregressive moving-average process is presented. The solution does not anticipate either learning or revision, although it is consistent with both if they are unforeseen. Care has been taken to minimize the computational difficulty inherent in the result.