Approximate Solution Methods for the Average Reward Criterion in Optimal Tracking Control of Linear Systems

This paper studies optimal control under the average-reward/cost criterion for deterministic linear systems. We derive the value function and optimal policy, and propose an approximate solution using Model Predictive Control to enable practical implementation.