Abstract
The standard control performance assessment methods are based on the minimum-variance (MV) principle or modifications of it. The key point is that the MV benchmark (as a reference performance bound) can be estimated from routine operating data without additional experiments, provided that the system delay is known or can be estimated with sufficient accuracy. The main focus of the chapter is on presenting assessment methods based on minimum-variance control (MVC) for single feedback control and for combined feedback and feedforward control loops. The extension of MV assessment to the assessment of set-point tracking and cascade control is also provided. All methods presented are illustrated using many examples.
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