Indirect closed-loop identification of input-output LPV models: A pre-filtering approach

In this paper, a method is proposed to identify input-output models for Linear Parameter Varying systems in closed loop. In such situations, a formidable problem is the issue of dynamic dependence on the scheduling parameters. Because of this the coefficients of the system depend on time shifted versions of the scheduling parameter vector which leads to a significant increase in the complexity of the model. An approach to avoid this issue is proposed that is at the same time simple and computationally less demanding. The closed loop system is identified like an open loop system and plant parameters are later extracted. The effectiveness of the method is illustrated with a simulation example. © 2011 IFAC.

DDC Class

600: Technik

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Indirect closed-loop identification of input-output LPV models: A pre-filtering approach