Adaptive Static-Output-Feedback Stabilization with Warm-Start

This paper develops an approach to static output feedback under the assumption that a stabilizing static-output-feedback gain is known for an approximate plant model. This approach is motivated by the fact that system identification may be used to obtain an approximate plant model, and offline optimization can be used to obtain a stabilizing static-output-feedback gain. This gain provides the initial guess for the adaptive static-output-feedback control law, which iteratively refines the gain based on the response of the actual system dynamics.