Robust synthesis by fictitious Bayesian identification approach

We examine a new robust control procedure in order to ensure the best trade-off performance/parametric robustness. This study extends the research performed into an analysis method called PRABI (parameter robust analysis Bayesian identification). Its basic idea was the close relationship between quality of fictitious parametric Bayesian identification in closed-loop and stability robustness against variations of inherent parameters. The algorithm detailed below generalizes the concept in parametrizing the synthesis step for the study of performance robustness. Robust control design of a flexible system is demonstrated to prove the relevance of the theoretical methodology, which is easy to implement