An Iterative, Direct Closed Loop Identification Method For Model Refinement: Application to Interaction Estimation.

This paper addresses the problem of model refinement under closed loop conditions. Updating of both the direct and interaction dynamics in decentralized control schemes is considered here. While the direct dynamics are indeed crucial in determining local loop control performance, accurate identification of interaction relationships is important for the deployment of coordinated, decentralized control schemes. The proposed methodology is based on the direct method of closed loop identification and requires dithering. An iterative strategy, that sequentially updates both the direct and the interaction dynamics, is proposed as part of the identification methodology. Representative validation studies are presented to demonstrate the practicality of the proposed methodology.