Suboptimal feedback control by a scheme of iterative identification and control design

System identification for achieving robust performance

“…Specifically, related results that connect control performance and model validation based on these normalized coprime factorizations are reported in Steele and Vinnicombe (2001) and Date and Cantoni (2005). The dualYoula-Kučera structure (Anderson, 1998;de Callafon and Van den Hof, 1997;Douma & Van den Hof, 2005) further refines these coprime factorization-based model uncertainty structures by excluding candidate models that are not stabilized by the controller that is used during the identification experiment. In this respect, the dual-Youla-Kučera model uncertainty structure constitutes a necessary step to satisfy Requirement R2 by excluding falsified models based on the actual experimental conditions.…”

Virtual reference feedback tuning for two degree of freedom controllers

“…They can be grouped in indirect (i.e. model-based) methods, [1,31,15,25,26,4,20,16,33,34,14], and direct methods, [23,22,32,21].…”

Next-generation wafer stage motion control: Connecting system identification and robust control

“…Observe that C RP (P) in general depends in a complicated manner on P, hence the use of C RP (P) in an identification criterion is not directly possible. Thereto, as in [9], [10], an upper bound is employed, leading to the robust-control-relevant identification criterion…”

“…In fact, the wafer stage system that is considered in this paper is openloop unstable due to a contactless operation, hence system identification has to be performed in closed-loop. In the case where C exp is not sufficiently close to C RP (P), then (6) and (8) may be solved iteratively, leading to a monotonous performance improvement [9]. Using the results presented in this paper, unnecessary conservatism is avoided.…”