Control performance assessment for block-oriented nonlinear systems

Control performance assessment or CPA is a useful tool to establish the quality of industrial feedback control loops. While many current CPA techniques are developed solely for the linear systems, [1–3] has recently considered CPA for nonlinear systems. This paper continues this trend by extending CPA into a popular class of nonlinear systems, specifically block-oriented nonlinear models. For these systems, a semi-parametric method is proposed to estimate the minimum variance performance lower bound and simulation examples illustrate that the proposed methodology is efficient and accurate enough to provide the statistics for nonlinear CPA.