Instrumental variable methods for identifying partial differential equation models of distributed parameter systems

摘要

This paper presents instrumental variable methods for identifying partial differential equation models of distributed parameter systems in presence of output measurement noise. Two instrumental variable-based techniques are proposed to handle this continuous-time model identification problem: a basic one using input-only instruments and a more sophisticated refined instrumental variable method. Numerical examples are presented to illustrate and compare the performances of the proposed approaches.