A General Solution for Linear Decision Rules: An Optimal Dynamic Strategy Applicable under Uncertainty

Abstract

Linear decision rules for controlling complex systems are often obtained by matrix inversion, but transform methods offer an alternative approach that yields insights into the structure of the decision problem of maximizing expected payoffs under constraints.