Suboptimal Linear Regulations for Linear Systems with Known Initial-State Statistics
For linear systems with quadratic loss the optimal control is a linear feedback from all the state variables of the system. If all the states are not measurable, it is sometimes possible to construct a suboptimal linear regulator which is almost as good as the full optimal. In this report an algorithm is deduced, which computes a suboptimal strategy when the statistics of the initial state of the