Effect of Varying Controller Parameters in Closed-Loop Subspace Identification
نویسندگان
چکیده
منابع مشابه
Effect of Varying Controller Parameters in Closed-Loop Subspace Identification
It is well known that subspace identification methods that assume open loop data without correlations between the input and noise, may give biased estimates when applied to closed loop data. The effect of the controller gain parameters on the quality of the identified model is studied when closed loop data are used. Several subspace identification methods (both open loop and closed loop methods...
متن کاملContinuous-time subspace identification in closed-loop
This paper deals with the problem of continuoustime model identification and presents a subspace-based algorithm capable of dealing with data generated by systems operating in closed-loop. The algorithm is developed by reformulating the identification problem from the continuous-time model to an equivalent one to which discrete-time subspace identification techniques can be applied. More precis...
متن کاملSubspace identification from closed loop data
So called subspace methods for direct identiication of linear models in state space form have drawn considerable interest recently. They have been found to work well in many cases but have one drawback { they do not yield consistent estimates for data collected under output feedback. This contribution points to the reasons for this and also shows how to modify the basic algorithm to handle clos...
متن کاملSubspace Identification using Closed-Loop Data
The purpose of this thesis was to investigate how different subspace identification methods cope with closed loop data, and how the controller parameters affect the quality of the acquired models. Three different subspace methods were subject for investigation; the MOESPmethod, theN4SIDmethod and theDSR_emethod. It is shown through a simulation example that all three subspace methods will ident...
متن کاملFault Detection and Estimation based on Closed-loop Subspace Identification for Linear Parameter Varying Systems
This paper presents a data driven solution of the Fault Identification approach Connected to Subspace Identification (FICSI) for Linear Parameter Varying (LPV) systems. The proposed solution links system identification to fault detection and estimation in affine LPV systems. As an extension of the model-based FICSI-LPV, the data driven solution is also formulated based on the affine LPV model s...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IFAC Proceedings Volumes
سال: 2010
ISSN: 1474-6670
DOI: 10.3182/20100705-3-be-2011.00099