DETECTION AND ISOLATION OF MODEL-PLANT MISMATCH FOR MULTIVARIATE DYNAMIC SYSTEMS

Abstract

This paper proposes a new scheme to detect and isolate model-plant mismatch (MPM) for multivariate dynamic systems. The background of our study is the increasing demands on MPM detection and isolation for performance assessment of model predictive controllers (MPCs). In this paper, the MPM problem is formulated in terms of discrete-time state space models which are widely used in MPCs. Three MPM detection indices (MDIs) are proposed to detect the MPM. Also a logic framework is proposed to isolate the system matrices that have MPM. A numerical example is presented to demonstrate the applicability of the proposed scheme.